Join our team as a Senior Data Analyst, where you will drive data-informed decisions, collaborate with cross-functional teams, and contribute to innovative projects. Ideal for an experienced professional ready to make an impact.

Senior Data Analyst position focused on GenAI POC for career journey initiative, involving data preparation and personalization features.

We are looking for an experienced Data Consultant to join our team and provide impactful solutions by aligning business needs with data-driven strategies. In this role, you will help organizations unlock the potential of their data to generate actionable insights and achieve measurable results. This is an exciting opportunity to work on innovative projects and collaborate with top-tier technologies in the field of data analytics.   Responsibilities Partner with stakeholders to identify business challenges and develop customized data solutions that align with organizational objectivesDefine key metrics, set desired outcomes, and monitor progress to ensure measurable results are achievedCollaborate with Solution Architects and Data Engineers to design and implement scalable and efficient data strategiesLead consulting engagements and support presales activities by showcasing expertise in analytics and understanding client requirementsManage and prioritize the product backlog to ensure alignment with strategic goals and customer expectationsAssess data quality and availability to identify opportunities for improvement in governance and processesStay updated on emerging trends and technologies in data analytics and incorporate them into active projectsSupport data integration, processing, and preparation efforts to ensure clean and actionable data for decision-makingPresent insights and strategies clearly to technical and non-technical audiences to maintain alignment among stakeholders   Requirements At least 5 years of experience in roles such as Data Analytics Consultant, Data Product Manager, or similar consulting positionsA minimum of 2 years in leadership roles such as Manager, Architect, Owner, or CoordinatorAt least 1 year of experience managing a team of five or more membersExperience participating in at least two full project life cycles or working across multiple phases of various projectsStrong knowledge of data platforms and hands-on experience delivering solutions like data lakes, analytics systems, and reporting toolsProficiency in SQL and Python with advanced coding capabilities in bothExperience working with cloud platforms such as AWS, Azure, or GCP and their associated data servicesExpertise in data architecture, lifecycle management, and data product design principlesProven leadership and project management experience in data-focused initiativesStrong analytical skills with the ability to distill complex problems and deliver actionable insightsProven ability to collaborate with technical teams and business stakeholders to deliver impactful solutionsDemonstrated success in leading and delivering data projects that address business challenges and achieve measurable outcomesExcellent organizational skills with the ability to manage multiple priorities and projects simultaneouslyFluency in English, both written and spoken, at a B2 level or higher   Nice to have Experience with data visualization tools such as Tableau, Power BI, or LookerCertifications in cloud technologies like AWS, Azure, or GCPHands-on experience with big data tools like Hadoop, Spark, or KafkaFamiliarity with AI/ML technologies and predictive analytics solutionsKnowledge of Agile or Scrum methodologies for effective project managementAbility to lead workshops, deliver presentations, and conduct client-facing training sessions   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a highly skilled and experienced Senior Business Analyst with a strong background in the insurance sector to drive impactful business improvements and deliver exceptional results. In this role, you will apply your expertise to analyze complex business needs, identify opportunities for optimization, and implement strategies that align with organizational objectives. If you excel at collaborating across teams and championing business transformations, we encourage you to apply.   Responsibilities Collaborate with stakeholders to gather, analyze, and document business requirements, ensuring alignment with project goals and objectivesEvaluate and optimize existing business processes and workflows to drive efficiency and scalabilityDevelop business requirement documents (BRDs), functional specifications, and user stories. Maintain accurate and comprehensive documentation throughout the project lifecycleAct as the primary liaison between business teams, IT departments, and external stakeholders to facilitate successful project executionPerform data analysis and translate insights into actionable recommendations for process improvements and system enhancementsIdentify and mitigate project risks while ensuring clear communication of issues and resolutions across teamsProvide training, guidance, and support to end-users to ensure seamless adoption of new solutions. Create training materials and user documentationParticipate in testing and quality assurance activities to verify that solutions meet defined business needs and requirementsStay updated on industry best practices, tools, and emerging trends in the insurance sector and share insights with relevant teams   Requirements 3+ years of experience as a Business Analyst in the insurance industryProficiency in business analysis tools and techniques, including process mapping, gap analysis, and requirement elicitationSkills in data analysis and reporting using SQL, Excel, or TableauKnowledge of insurance software systems or platforms and methodologies, specifically within life, health, property, and casualty insuranceFamiliarity with insurance regulatory requirements and compliance standardsExcellent communication, interpersonal, and stakeholder management skillsStrong problem-solving capabilities and a high degree of attention to detailCapability to work on multiple projects simultaneously while prioritizing effectivelyBackground in creating comprehensive documentation, including BRDs, use cases, and training materialsFlexibility to use new technologies and adapt to evolving business requirementsEnglish level of minimum B2 (Upper-Intermediate) for effective communication   Nice to have Experience with life, health, property, and casualty insuranceExpertise in Agile or Scrum methodologiesShowcase of experience in creating dashboards or visual representations using tools like Power BIUnderstanding of API integrations and system implementation projectsFamiliarity with actuarial, claims, or underwriting processes in insurance   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Senior Data Scientist to develop innovative AI solutions, focusing on advanced personalization and recommendation systems using cutting-edge technology.

Join our team as a Data Scientist to contribute to a Generative AI Proof of Concept project. You will work on developing personalization features and recommendation systems using content and certification data, applying your expertise in AI and data engineering. If you are passionate about AI innovation and want to make a significant impact, we encourage you to apply.   Responsibilities Develop and implement AI models for personalization and recommendationsDesign and optimize data ETL processes for AI applicationsApply Azure OpenAI Service capabilities to enhance AI solutionsConduct prompt engineering to improve generative AI outputsIntegrate Retrieval-Augmented Generation techniques into AI workflowsCollaborate with cross-functional teams to refine POC scope and deliverablesAnalyze and preprocess data to support AI model training and evaluationDocument methodologies and results to ensure reproducibilityMonitor AI model performance and suggest improvementsSupport deployment and maintenance of AI models in production environments   Requirements Experience in Data Science with 2+ years of relevant workKnowledge of Azure OpenAI Service and its application in AI projectsFamiliarity with Data Software Engineering principles and practicesUnderstanding of Generative AI Fundamentals and Prompt EngineeringExperience with Retrieval-Augmented Generation and Natural Language ProcessingAbility to design and implement content ETL processes for AIStrong analytical and problem-solving skillsEffective communication and collaboration abilitiesEnglish proficiency at B2 level or higher   Nice to have Experience in personalization and recommendation systemsKnowledge of certification data handling and integrationFamiliarity with AI proof of concept project workflows   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Oportunidad como Senior Automation Tester en Java, llevando el refactoring de 4000 scripts de automatización de pruebas. Diseña y desarrolla marcos de automatización para mejorar la calidad y rendimiento del software.

Join our team as a Senior Backend Engineer to develop scalable healthcare solutions and drive high-quality backend systems. Collaborate with stakeholders, mentor others, and improve engineering processes in a fast-paced environment.

Lead Go Language Developer sought to drive backend healthcare solutions for millions. Collaborate with stakeholders and ensure robust system delivery.

Lead Automated Testing Engineer in Java position available to guide the transformation of 4000 test automation scripts, enhancing software quality and performance. Architect and build cutting-edge test automation frameworks.

Buscamos un Senior Management Salesforce Solution Architect para liderar la migración a Salesforce Loyalty Management en la industria de la hospitalidad. Este profesional tomará decisiones arquitectónicas y supervisará equipos a través de las fases de implementación, con el objetivo de garantizar estrategias tecnológicas a largo plazo y una integración fluida de sistemas.

Join our team as a Senior Business Intelligence Engineer to create interactive dashboards and reporting solutions using ThoughtSpot for an insurance data company. Collaborate with cross-functional teams to optimize data models and ensure high-performance BI tools.

Join our team as a Salesforce Solution Architect, focusing on migrating to Salesforce Loyalty Management within the hospitality sector. You will serve as a technical leader, shaping solution architecture and guiding delivery teams through implementation stages. Apply your expertise to influence long-term technology strategies and ensure seamless integration across systems. If you are ready to impact client success through innovation, apply now.   Responsibilities Serve as Technical Architect within a Scrum team to guide Salesforce Loyalty Cloud implementationDesign stay processing, partner transactions, hotel and partner reimbursement, vouchers, promotions, APIs, and integrations with legacy systemsApply real-world Loyalty Cloud experience to inform solution architecture decisionsDrive delivery teams through implementation stages including marketing engagement strategy and code reviewsBuild and maintain strong relationships with client Head of Technology to validate solutionsUnderstand long-term client objectives and define sustainable technology and implementation roadmapsPerform code reviews and guide technical estimations to support development teamsCoordinate with marketing teams to align engagement strategies with technical solutionsReview data models, custom objects, and developer pull requests for quality and alignmentFacilitate communication between technical and business teams to ensure clear understanding of requirementsEnsure delivered solutions are production-ready and meet performance expectationsPromote best practices in Service Oriented Architecture and system integrationSupport continuous improvement by incorporating feedback and lessons learnedMonitor project progress and adjust technical approaches as needed   Requirements Deep expertise in Salesforce platform with 2+ years in solution architecture rolesStrong understanding of system integrations including MuleSoft, Kafka, Apigee, and RESTful APIsExperience with Java-based solutions to support legacy system understandingHands-on leadership skills including code reviews and technical guidanceAbility to transition between high-level architecture and detailed technical designConsulting mindset with ability to understand business challenges and technical constraintsExecution-driven approach ensuring practical and scalable solutionsExperience working in hospitality industry or related domainStrong communication skills and ability to build client relationshipsProficiency in English language at B2+ level   Nice to have Experience implementing Salesforce Loyalty CloudKnowledge of Service Oriented Architecture (SOA) conceptsFamiliarity with marketing engagement strategiesPrevious work in large-scale technology uplift programsCertifications in Salesforce or integration technologies   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Lead Business Intelligence Engineer to spearhead the creation of dynamic dashboards and reporting tools using ThoughtSpot within an insurance data organization. You will lead collaboration efforts across teams to refine data models and guarantee top-notch performance of BI systems. Apply now to leverage your skills in data analytics and visualization to drive impactful business insights.   Responsibilities Create and maintain interactive dashboards and reports utilizing ThoughtSpotPartner with Data Engineers to integrate and transform data for BI reportingCollect and evaluate business requirements to develop BI technical specificationsDevelop and implement effective data models to support analytical needsEnhance query and report efficiency to improve BI system performanceCoordinate with business analysts and stakeholders to ensure project goals alignmentDocument BI architectures, data models, and system setups   Requirements Proven experience as a Business Intelligence Engineer or related role with over 5 years1+ years of relevant leadership experienceAdvanced knowledge of ThoughtSpot for creating dashboards and reportsComprehensive understanding of data modeling, integration, and transformation principlesExperience crafting complex SQL queries for data analysisFamiliarity with Amazon Web Services applicable to BI projectsStrong analytical thinking and problem-solving capabilitiesExcellent communication and teamwork skillsEnglish proficiency at B2 level or above   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a Senior Architecture Technology Consultant to lead the engineering organization transformation with innovative solutions. Collaborate closely with clients and internal teams to design impactful changes and enhance our consulting services. Join us to contribute your expertise in driving innovation and operational excellence.   Responsibilities Support internal and external product engineering teams in enhancing cost efficiency, quality, and delivery speedGather essential insights via formal and informal interviews, surveys, and analysis of system dataDevelop and promote collaborative solutions through various workshop formatsCraft and tailor concise, clear messages for executives on implementing changeContribute to the consulting practice by creating new service offerings and refining methodologiesIntegrate AI and automation insights into consulting engagementsConduct domain research in engineering, operations, organizational design, architecture, data, and product managementPrepare and present publications and talks both inside and outside the firmEngage in presales and sales efforts including responding to RFPs, attending executive meetings, preparing proposals, and developing statements of work   Requirements Advanced graduate degree such as a master's, MBA, or PhDOver 9 years of experience in software industry sectors including engineering, infrastructure, QA, architecture, or data scienceComprehensive knowledge of software development lifecycleExperience with software development methodologies such as SCRUM, XP, Kanban, and SAFeMastery of engineering best practices including test-driven development, pair programming, code review, continuous integration, trunk-based development, feature toggling, test automation, and infrastructure as codeHands-on experience leading workshops at director and executive levelsData-driven decision-making skills with proficiency in Python or R for complex data analysisBackground in business development or presales activities involving proposal creation and client presentationsStrong English communication skills, both oral and writtenCollaborative team player with excellent facilitation and moderation skills   Nice to have Proficiency in Spanish language   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking an Architecture Technology Consultant to drive engineering organization transformation with innovative solutions. Collaborate with internal and external clients to design and implement change, and contribute to advancing our consulting practice. Apply now to be part of this innovative journey.   Responsibilities Help internal and external product engineering organizations improve cost, quality, and time to marketElicit relevant information through formal and informal interviews, surveys, and system data analysisIdeate and socialize solutions collaboratively through different workshopsTailor and design crisp and clear messages for executives on how to execute changeContribute to consulting practice by designing new service offerings and improving methodologiesEmbed AI and automation insights into consulting solutionsConduct research in domain expertise such as engineering, operations, organization, architecture, data, and product managementPrepare and deliver publications and presentations within and beyond the organizationParticipate in pre-sale and sales activities including RFP responses, executive meetings, proposal preparation, and SOW development   Requirements Advanced graduate degree such as master's degree, MBA, or PhD7+ years of software industry experience in engineering, infrastructure, quality assurance, architecture, or data scienceDeep understanding of software development lifecycleExperience with software development methodologies including SCRUM, XP, Kanban, and SAFeFluency in technical engineering best practices such as test-driven development, pair programming, code review, continuous integration, trunk-based development, feature toggling, test automation, and infrastructure as codePractical experience conducting workshops at director and executive levelsData-driven strategist with proficiency in Python or R for complex data analysisExperience in business development or pre-sales activities including proposal crafting and client presentationsStrong communication skills in English, both verbal and writtenTeam player with strong facilitation and moderation skills   Nice to have Spanish language proficiency   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a motivated and self-driven Lead Data Engineer with a strong technical background in data processing and manipulation. The ideal candidate will be responsible for working with data ingestion from various sources, transforming it into robust datasets, and managing it effectively — primarily in cloud storage environments. If you have expertise in Python-based data processing, a keen interest in working with cutting-edge tools like Databricks, and a passion for working with complex, large-scale data, we want to hear from you!   Responsibilities Develop and maintain reliable data pipelines for ingesting, transforming, and storing data from multiple sourcesManipulate complex datasets and preprocess large-scale logs and time-series data using state-of-the-art tools and frameworksLeverage your knowledge of Python (Pandas, NumPy, etc.) to perform exploratory data analysis (EDA) and prepare data for business and analytical use casesWork collaboratively with cloud-based tools and infrastructure, focusing on scalability and performance optimizationUtilize tools like Databricks, if experienced, or demonstrate a willingness to quickly ramp up on Databricks’ Lakehouse, Workflow, and ETL functionalities   Requirements Proven experience of over 5 years as a Data Engineer or in a similar role, demonstrating a self-driven and problem-solving mindsetAt least 1 year of relevant leadership experienceExpertise in Python for data processing, analysis, and manipulation (e.g., Pandas, NumPy, and advanced libraries)Proven experience working with large-scale logs, time-series data, and structured/unstructured data in diverse formats, preferably hardware/device data logsKnowledge of Databricks, including workflows, ETL processes, and working with Lakehouse architecture, is highly desirableExperience working with device data manipulation, such as medical data, IoT device data, hardware data, or similarExcellent command of written and spoken English (B2+ level)   Nice to have Exposure to PyTorch or TensorFlow for advanced data processing and AI/ML tasksUnderstanding of or experience with AI/ML models, along with the ability to apply predefined machine learning models to datasets   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Se necesita un Lead DevOps Engineer para liderar la dirección técnica de la infraestructura en la nube y prácticas de automatización, trabajando en soluciones seguras y escalables junto a equipos multidisciplinarios.

Join our team as a Chief DevOps Engineer, focusing on cloud infrastructure and automation strategies. Collaborate with teams to deliver secure and scalable systems that enhance our business.

We are seeking a skilled and dedicated SharePoint Lead to join our dynamic team. This pivotal role combines hands-on SharePoint development, leadership of a development team, and strategic planning to deliver impactful solutions.   Responsibilities Lead the SharePoint development team, ensuring quality deliverables and adherence to project timelinesPerform hands-on development tasks, including coding, troubleshooting, and testing within SharePointPlan project timelines and milestones, allocating resources effectively based on project needsCollaborate with stakeholders across departments to define project goals and deliverables aligned with business objectivesConduct team meetings to review progress, address challenges, and share recommendationsOversee release planning, including deployment schedules and risk management strategiesEnsure all development and implementation processes comply with company policies and industry standardsMentor team members to promote collaboration and growthStay informed on emerging SharePoint technologies and industry trends to integrate improvements into workflows   Requirements 5+ years of experience in SharePoint developmentExpertise in SharePoint technologies, including SharePoint Online, server, and designer platformsKnowledge of AzureStrong leadership and team management abilitiesCapability to prioritize and execute tasks effectively under pressureProficiency in problem-solving and analytical thinkingShowcase of outstanding communication and interpersonal skillsBackground in release planning and stakeholder collaboration   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a skilled Lead Front-End Developer to join our team and take charge of crafting dynamic, user-focused interfaces. This role focuses on delivering scalable front-end solutions and fostering team collaboration to build high-quality applications. You will oversee projects centered on performance, usability, and innovative technologies.   Responsibilities Develop scalable and reusable front-end solutions that align with project needsCollaborate with designers and back-end teams to ensure cohesive visual and functional integrationOptimize systems to achieve superior runtime efficiency and performanceBuild and maintain robust Single Page Applications (SPAs) with an emphasis on clean architectureTransition legacy codebases to new frameworks and updated standardsReview designs to ensure consistency and deliver user-friendly experiencesContribute to the development of Progressive Web Applications (PWAs) to improve functionality and user engagementImplement automated testing frameworks to maintain reliable and stable codebasesStay updated on emerging front-end technologies and integrate best practices into the workflow   Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related fieldA minimum of 5 years of experience in front-end software developmentAt least 1 year of experience managing and leading development teamsAdvanced knowledge of JavaScript and proficiency in React and Redux frameworksBackground in designing scalable, multi-tenant front-end systems to create rich user experiencesExpertise in Progressive Web Application (PWA) developmentSkills in CSS to optimize and style front-end platformsCapability to evaluate and refine designs with detailed attention without formal design trainingShowcase of experience working on large-scale SPAs, prioritizing performance optimization and CI/CD workflowsProficiency in updating legacy codebases to align with modern development standardsQualifications in automated testing and hands-on contributions to frameworks like PlaywrightExcellent command of written and spoken English (B2+ level)   Nice to have Familiarity with Amazon Web Services (AWS) infrastructure for hosting and integrating front-end applicationsUnderstanding of REST API architecture and its integration with front-end systemsKnowledge of testing automation frameworks and foundational testing principles   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Senior Salesforce Business Analyst, serving as a key link between business stakeholders and the delivery team. Gather and translate business requirements to ensure successful Salesforce implementation, contributing to meaningful business outcomes.

Join our team as a Senior Business Intelligence Engineer to develop interactive dashboards and reporting solutions using ThoughtSpot for an insurance data company. You will collaborate with cross-functional teams to optimize data models and ensure high-performance BI tools. Apply now to contribute your expertise in data analytics and visualization.   Responsibilities Design and develop interactive dashboards and reports using ThoughtSpotCollaborate with Data Engineers to integrate and transform data for reportingGather and analyze business requirements to create technical BI specificationsDesign and implement efficient data models to support reporting needsOptimize queries and reports to enhance BI solution performanceWork closely with business analysts and stakeholders to ensure alignmentDocument BI solution designs, data models, and system configurations   Requirements Proven experience as a Business Intelligence Engineer or similar role with 3+ yearsStrong proficiency in ThoughtSpot for dashboard and report developmentSolid understanding of data modeling, integration, and transformation conceptsExperience writing complex SQL queries for data retrieval and analysisFamiliarity with Amazon Web Services relevant to BI projectsStrong analytical and problem-solving skillsExcellent communication and collaboration abilitiesEnglish proficiency at B2 level or higher   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Data Vision Engineer, where you will leverage computer vision techniques and intelligent automation to design and develop advanced track and trace systems. You will work with autonomous robots and cobots to enhance palletization efficiency. Apply now to contribute to innovative robotics and AI projects that transform logistics operations.   Responsibilities Design computer vision solutions for object detection using models like YOLO and RCNNDevelop and deploy machine learning models in cloud environmentsImplement robotic process automation and intelligent automation workflowsCollaborate with cross-functional teams to integrate autonomous robots and cobotsOptimize palletization processes using automation technologiesMaintain and improve existing ML model deployments using Docker and related toolsAnalyze system performance and troubleshoot technical issuesDocument development processes and provide technical supportStay updated with the latest advancements in computer vision and automation technologies   Requirements Experience of 2+ years in machine learning engineering with a focus on computer visionProficiency in Python programming languageExperience in deploying ML models using Docker or similar containerization toolsKnowledge of cloud platforms, preferably Microsoft AzureStrong understanding of object detection algorithms such as YOLO and RCNNAbility to work collaboratively in a team environmentGood problem-solving skills and attention to detailUpper-Intermediate level of English (B2+)   Nice to have Experience with robotic process automation and intelligent automation toolsFamiliarity with autonomous robots and collaborative robots (cobots)Knowledge of palletization processes and logistics automationCertification in Microsoft Azure   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a Chief Data Scientist to join our organization. In this role, you will lead the delivery of a next-generation warehouse safety platform powered by advanced computer vision. The initiative focuses on elevating safety protocols in Amazon warehouses by leveraging video analytics to identify risks and unusual activities.   Responsibilities Direct the creation and rollout of computer vision solutions for detecting objects and anomalies, utilizing tools such as YOLO and Amazon SageMaker Ground TruthEnhance the effectiveness, scalability, and precision of models through techniques like hyperparameter tuning and data augmentationEvaluate and integrate large language models to support tasks like data annotation and extracting actionable insightsOversee the complete process of AI and machine learning model development, from data labeling to production deployment of inference pipelinesPartner with ML Ops specialists to embed models into seamless pipelines that align with AWS best practicesGuarantee the provision of high-quality labeled datasets using Amazon SageMaker Ground Truth for robust model trainingReview and improve the reliability of datasets and the performance of models to ensure accuracy in practical computer vision scenarios   Requirements Bachelor’s or Master’s degree in mathematics, statistics, computer science, data science, or a closely related areaMore than 7 years of experience in data science or a comparable fieldAt least 2 years of experience leading and managing technical teamsParticipation in at least two end-to-end project cycles or involvement in multiple projects spanning various development stagesIn-depth expertise in computer vision algorithms and frameworks, with a focus on YOLO and contemporary object detection technologiesSignificant hands-on experience with Amazon SageMaker, including Ground Truth for data labeling and constructing scalable ML pipelinesAdvanced proficiency in Python, especially for data science, AI, and machine learning applicationsStrong command of AWS cloud-native services, including Lambda, DynamoDB, Aurora, S3, and SNS/SQSProven ability to build and launch AI and machine learning solutions in production settingsKnowledge of evaluation metrics such as precision, recall, and F1 score, and their application in refining modelsExcellent English communication skills, both verbal and written, at B2+ level or above   Nice to have Familiarity with AWS edge technologies like AWS Panorama for running computer vision workloads on IoT devices   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly skilled Senior Data Scientist to join our team. You will play a key role in driving data-driven decision-making and shaping the future of our marketing analytics. This is an exciting opportunity to work with a collaborative group of professionals and make a significant impact on business outcomes.   Responsibilities Lead the creation and implementation of data science solutions tailored to marketing challenges such as churn prediction, audience segmentation, and lifetime value modelingPrepare, transform, and analyze large datasets from diverse sources to enable model development and campaign analyticsDevelop and validate machine learning models using Python or R, and work with engineering teams to integrate them into production systemsDesign experiments and measurement frameworks to evaluate the effectiveness of marketing campaigns and the impact of predictive modelsCommunicate complex analytical results and technical concepts in a clear, actionable manner to marketing stakeholdersContribute to the advancement of AI and machine learning practices within the marketing performance teamDocument modeling strategies, underlying assumptions, and performance metrics in a clear and organized manner   Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related disciplineAt least 3 years of hands-on experience in a data science or analytics roleAdvanced skills in Python or R for data analysis and machine learning model developmentDeep understanding of supervised learning methods, including classification, regression, feature engineering, and model evaluationProficiency in writing complex SQL queries to extract and manipulate large-scale datasetsExperience with experimental design and analysis, such as A/B testing and uplift modelingExcellent communication skills with the ability to present models and methodologies to audiences without technical backgroundsCapable of working independently in a dynamic environment and managing multiple projects simultaneouslyFluent English communication skills, both written and spoken, at B2+ level or above   Nice to have Background working with marketing data, paid media campaign analytics, or user behavior modelingFamiliarity with AI tools and techniques, including large language models, recommendation systems, or generative AIExperience using cloud platforms such as AWS, GCP, or Azure, and version control systems like GitPrevious work in the gaming, media, or entertainment sectors   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Become a key member of our collaborative Client and EPAM team as a Senior Business Analyst specializing in data migration initiatives. You will engage with stakeholders to collect detailed requirements and ensure the accuracy of migration outcomes. Apply today to leverage your expertise in a fast-paced setting.   Responsibilities Gather requirements from key stakeholdersCreate and maintain Jira tasks aligned with project objectivesDevelop source-to-target mappings for data migration effortsOversee and update Jira throughout the project phasesValidate migration results to confirm accuracy and integrityWork jointly with Client and EPAM team membersFacilitate communication between technical and business units   Requirements Minimum 3 years of experience in BI analysisProven experience documenting BA artifacts and requirementsProficiency in writing and running SQL queriesExperience using Jira for task managementStrong analytical and problem-solving skillsAbility to work effectively in distributed teamsExcellent communication and documentation skillsEnglish language proficiency at B2 level or above   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Middle Business Intelligence Analyst, where you will play a crucial role in supporting data migration projects by collecting requirements, documenting tasks, and verifying migration results. This position offers the opportunity to work closely with stakeholders and contribute to successful project delivery. Apply now to be part of a dynamic team focused on impactful data initiatives.   Responsibilities Collect requirements from stakeholders to ensure clear project goalsDocument Jira tasks accurately to facilitate project trackingPrepare source to target mapping documentation for data migrationManage Jira workflows and updates to maintain project visibilityVerify migration results to ensure data accuracy and integrityCoordinate with technical teams to resolve data discrepanciesCommunicate progress and issues effectively with clients and team members   Requirements Experience in Business Analysis, with 2+ years focusing on BI analysisBackground in documenting BA artifacts, including requirements and tasksProficiency in SQL for data querying and validationFamiliarity with Jira for task management and documentationStrong analytical skills to interpret data and process requirementsGood communication skills to liaise with clients and technical teamsEnglish proficiency at the B2+ level   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a highly skilled Senior Performance Testing Engineer to spearhead the design, execution, and analysis of performance testing strategies for scalable, high-performance systems. In this role, you will develop and optimize performance testing frameworks, identify and resolve bottlenecks in web applications and APIs, and collaborate with cross-functional teams to ensure our technology meets the highest standards of reliability and scalability.   Responsibilities Provide technical expertise in defining and implementing performance testing strategies, frameworks, and plansConduct comprehensive performance, load, stress, and endurance testing for web applications and backend APIsDevelop realistic workload models based on architecture and production usage patternsAnalyze and interpret performance test results using tools like k6 and sitespeed.io, identifying key performance metricsInvestigate and resolve performance bottlenecks across application, infrastructure, database, and network layersIntegrate performance test suites into CI/CD pipelines to ensure ongoing scalability and reliabilityUtilize Grafana with InfluxDB to capture and visualize performance metrics for trend analysis and reportingMonitor system resource utilization (CPU, memory, disk, network) during tests and identify misconfigurationsAutomate performance testing processes, including test execution and reporting workflows, using scripting or programming tools like TypeScript or PowerShellCollaborate with stakeholders to identify performance risks early and propose actionable solutionsLead or contribute to performance tuning initiatives, ensuring the system meets required SLAs and scalability requirementsMentor and guide team members to foster a performance-first mindset and skills development   Requirements Proven experience of over 3 years in performance testing of web applications, APIs, and backend servicesStrong knowledge of performance testing methodologies and best practicesHands-on expertise with k6; familiarity with sitespeed.io is a plusProficiency in analyzing test outcomes with metrics like percentiles, distributions, and system resource utilizationExperience using Grafana and InfluxDB for performance monitoring, visualization, and reportingKnowledge of SQL with capabilities in query performance analysis and optimizationCompetency in diagnosing and addressing bottlenecks across application, network, OS, and database layersUnderstanding of infrastructure configurations, load balancing, and system monitoring toolsSkills in scripting or programming (e.g., TypeScript, PowerShell) for extending performance tests and custom automationExperience integrating tests into CI/CD workflows with automated reporting toolsStrong communication skills in business English (B2 level or higher) to present findings to both technical and non-technical audiences   Nice to have Familiarity with Prometheus for advanced monitoring and alertingExperience with testing and optimization in REST and SOAP-based servicesWorking knowledge of sitespeed.io for performance analysis and insightsExperience mentoring team members and promoting a performance-focused culture   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our dynamic team as a Senior Data Engineer, leveraging your expertise in cloud technologies to design innovative AI-powered solutions. Collaborate with cross-functional teams to create scalable and secure applications that meet business objectives.

We are looking for a talented and experienced Lead Performance Analyst to join our team. In this role, you will take on a leadership position, guiding performance testing efforts and overseeing the analysis of system and application performance. As a key contributor, you will collaborate with cross-functional teams to ensure our systems operate at optimal efficiency, meet reliability benchmarks, and deliver exceptional user experiences.   Responsibilities Own the performance testing strategy by defining, developing, and maintaining comprehensive performance test plans and automated scripts using industry-standard toolsLead the execution of performance tests, analyze complex results, and deliver detailed performance metric reports featuring actionable recommendations to enhance system efficiencyCollaborate with stakeholders to set performance benchmarks and design tailored test scripts based on evolving system requirementsMentor team members by providing technical guidance and establishing best practices for performance testing and analysisInvestigate and troubleshoot performance-related issues; proactively identify and measure potential code inefficiencies or bottlenecksReview, validate, and contribute to business and system requirements to ensure all deliverables are performance-testableImplement monitoring solutions to track system resource consumption and trends, delivering proactive insights for continuous improvement   Requirements 5+ years of experience in performance analysis and testing, including 1+ years of leadership experience in performance-related projectsAdvanced expertise in Apache JMeter and Dynatrace APM, including hands-on implementation and optimizationStrong foundation in AKS, system performance monitoring, and test automation toolsExcellent communication skills, with the ability to articulate findings and strategies to technical and non-technical audiencesExcellent command of written and spoken English (B2+ level)   Nice to have Deep programming knowledge of Java and the ability to contribute to performance-related code optimizationsExperience designing and executing tests with HP LoadRunner or similar performance testing solutionsBackground in the eCommerce domain, with an understanding of high-demand, scalable systemsPractical knowledge of Apache Kafka, Redis, and distributed architecturesStrong SQL skills for advanced data analysis and validation   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly skilled and experienced Senior Performance Analyst to join our team. In this role, you will be responsible for designing, executing, and analyzing performance tests to ensure our systems and applications meet the highest standards of performance and reliability. You will work with cutting-edge tools and technologies, providing valuable insights to improve system efficiency and user experience.   Responsibilities Define and develop performance test plans and automated scripts using industry-standard testing toolsExecute performance tests, analyze and evaluate test results; generate performance metric reports and provide actionable recommendationsDevelop performance test scripts tailored to system requirementsAssist in analyzing test and operational issues to identify and measure potential code defectsReview and analyze business and system requirements to ensure performance testabilityMonitor system resources and provide feedback on performance trends   Requirements 3+ years of experience in performance analysisExpertise in Apache JMeter and Dynatrace APMBackground in AKS and system performance monitoringGood communication skills and the ability to articulate technical findings effectivelyEnglish language proficiency at an Upper-Intermediate level (B2) or higher   Nice to have Programming knowledge of JavaExperience with HP LoadRunner or similar performance testing toolsFamiliarity with the eCommerce domainUnderstanding of Apache Kafka and RedisSkills in SQL   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a Lead Data Scientist who can transform data into actionable solutions and impactful machine learning products. You will be responsible for guiding the full data science process, from framing problems and exploring data to building models, running experiments, and delivering clear insights. Collaboration with product and engineering teams will be key to achieving meaningful business results.   Responsibilities Translate strategic goals into clear data science challenges with defined metrics for successExplore, preprocess, and combine complex data sources, engineering features that enhance model performanceBuild, test, and optimize models for prediction, classification, ranking, natural language processing, and time-series analysisPlan and analyze experiments, including A/B and multi-arm trials, and conduct causal studies for reliable conclusionsCommunicate results through engaging narratives, visualizations, and actionable guidancePartner with product and engineering to launch models in production and monitor their effectiveness   Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, or a related fieldMinimum of 5 years’ experience applying data science in production settings or similar environmentsAt least one year of experience leading and managing technical teamsStrong foundation in statistics, probability, and experimental designAdvanced proficiency in SQL and at least one general-purpose programming language, with hands-on experience in machine learning libraries and frameworksExperience working with large-scale datasets and distributed data processing technologiesDeep understanding of model assessment, validation, and monitoring using both offline and online metricsExpertise in data visualization and the ability to communicate findings to executive stakeholdersFamiliarity with MLOps principles and collaboration with data or platform engineering teamsFluent English skills, both written and spoken, at B2+ level or higher   Nice to have Experience in areas such as natural language processing, forecasting, recommendation engines, or anomaly detectionKnowledge of causal inference and advanced experimentation methodsHands-on experience with feature stores, streaming data, or online machine learning systemsFamiliarity with cloud data platforms and modern data warehousing solutionsExperience mentoring colleagues and working on cross-functional initiatives   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Senior Data Analyst to spearhead the migration rationalization of a client's legacy Hadoop data environment to a modern cloud-based infrastructure using AWS and Snowflake. You will analyze data systems, optimize migration processes, and provide critical insights to ensure a successful transition. Apply now to contribute your expertise to this transformative project.   Responsibilities Conduct thorough analysis of existing data systems to map and review the data environmentMonitor data migration processes and troubleshoot issues to optimize efficiencyProvide regular updates to stakeholders on migration progress and risk mitigationDocument data migration procedures and final configurations for complianceDevelop and maintain Power BI reports to support data-driven decision makingCollaborate with cross-functional teams to ensure alignment and data integrityIdentify opportunities to improve data quality and migration strategies   Requirements Minimum 3 years of experience in Data Analysis or Business Intelligence rolesStrong analytical skills with proficiency in SQL and data manipulation languagesExperience with ETL processes and data integration toolsSolid understanding of data architecture principles and best practices in data migrationExcellent problem-solving skills and ability to work collaborativelyProven ability to develop reports using Microsoft Power BIStrong requirements analysis capabilitiesEffective communication and stakeholder management skillsEnglish proficiency at B2 level or higher   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Lead Data Analyst to direct the migration and rationalization of a client's legacy Hadoop data system to a contemporary cloud infrastructure utilizing AWS and Snowflake. You will evaluate data frameworks, enhance migration workflows, and deliver vital insights to ensure a smooth transition. Apply now to leverage your leadership and analytical skills in this impactful project.   Responsibilities Analyze current data systems to map and assess the data environmentOversee data migration operations and resolve issues to enhance efficiencyCommunicate regularly with stakeholders regarding migration status and risk managementRecord data migration steps and final setup for compliance purposesCreate and update Power BI dashboards to facilitate data-driven decisionsWork closely with cross-functional teams to maintain alignment and data accuracySpot opportunities to boost data quality and optimize migration methods   Requirements Minimum 5 years of experience in Data Analysis or Business Intelligence roles1+ years of relevant leadership experienceStrong analytical abilities with expertise in SQL and data manipulation languagesExperience with ETL workflows and data integration technologiesThorough knowledge of data architecture concepts and best practices for data migrationExcellent problem-solving skills and teamwork capabilitiesProven experience in developing reports using Microsoft Power BIAdvanced skills in requirements analysisEffective communication and stakeholder management abilitiesEnglish proficiency at B2 level or above   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for an experienced Data Scientist to join our organization. In this role, you will help shape marketing analytics strategies and support data-driven initiatives. You’ll collaborate with a talented team and have the chance to influence key business decisions.   Responsibilities Oversee the development and rollout of data science projects focused on marketing topics like predicting customer churn, segmenting audiences, and modeling customer lifetime valueCleanse, restructure, and examine large volumes of data from multiple platforms to support modeling and campaign analysisBuild, test, and refine machine learning algorithms using Python or R, and partner with engineering to deploy models into live environmentsCreate experimental designs and measurement plans to assess marketing campaign results and model performancePresent complex data findings and technical details in a way that is actionable for marketing teamsHelp enhance AI and machine learning capabilities within the marketing analytics groupKeep thorough records of modeling processes, assumptions, and performance indicators   Requirements Bachelor’s or Master’s degree in a relevant field such as Computer Science, Data Science, or Artificial IntelligenceMinimum of 2 years’ experience in a data science or analytics positionStrong command of Python or R for statistical analysis and machine learningSolid grasp of supervised learning approaches, including classification, regression, feature creation, and model assessmentSkilled in writing advanced SQL queries to handle and process large datasetsPractical experience with experimental methods like A/B testing and uplift analysisStrong communication abilities to explain technical concepts to non-technical audiencesAble to work independently in a fast-paced setting and juggle multiple assignmentsProficient in English, both written and spoken, at B2+ level or higher   Nice to have Experience with marketing analytics, paid media performance, or modeling user behaviorKnowledge of AI technologies such as large language models, recommendation engines, or generative AIFamiliarity with cloud computing platforms like AWS, GCP, or Azure, and version control tools such as GitPrevious involvement in the gaming, media, or entertainment industries   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a highly skilled Senior AI Engineer to lead the configuration, integration, and development of advanced AI solutions for critical systems and workflows. This position will focus on implementing and optimizing AI-driven tools, such as CodeMie and System Analytic Assistants, to enhance operational efficiency, compliance, and risk management. The ideal candidate will have a strong background in large language models (LLMs), system integration, and regulatory standards, with a passion for driving innovation in AI technologies.   Responsibilities Configure and integrate customer-specific Large Language Models (LLMs) into existing workflowsManage and implement user creation workflows and permissions for AI systems across various teamsDesign and configure data sources and integrate them into CodeMie for seamless data flow and analyticsDevelop and implement an AI-based System Analytic Assistant to improve system-level operations and productivityIntegrate the System Analytic Assistant with tools like Jira, Confluence, and Polarion to support tracking, collaboration, and project managementConnect AI systems to code repositories such as GitHub and Azure DevOps, as well as Azure subscriptions, to enable data access and workflowsManage indexing workflows for Jira, Confluence, Polarion, and Azure data to enable comprehensive RAG (Red-Amber-Green) assessments and analyticsImplement AI capabilities that align with ISO and FDA standards, including ISO 13485, ISO 14971, IEC 62304, and US 21 CFR 820.30 (b)Configure AI systems to support quality management, risk management, software lifecycle processes, and safety requirements in compliance with regulatory standardsEnsure seamless integration of AI workflows with ISO, FDA, and IEC standards through proper indexing and configuration   Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related fieldAt least 3 years of experience in AI engineering or related rolesProficiency in building and deploying Large Language Models (LLMs) and natural language processing (NLP) toolsStrong knowledge of cloud platforms, particularly Azure and its subscription servicesExperience with data integration and APIs, including Jira, Confluence, Polarion, GitHub, and Azure repositoriesExpertise in DevOps workflows for indexing, data management, and automationIn-depth understanding of AI-based frameworks and tools such as OpenAI, LangChain, and Hugging FaceStrong problem-solving skills and the ability to collaborate effectively in cross-functional teamsExperience with RAG indexing models and integrating analytics into decision-making workflowsKnowledge of UI/UX principles for creating user-friendly AI systems and interfacesExcellent communication skills for engaging with stakeholders across engineering, compliance, and business unitsFluent English proficiency, both written and spoken, at a B2+ level or higher   Nice to have Familiarity with ISO, FDA, and IEC standards, including ISO 13485, ISO 14971, and IEC 62304Experience implementing data compliance processes for sensitive data under regulatory frameworks   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a skilled iOS Developer with expertise in Intune to join our team. In this position, you will be responsible for developing, implementing, maintaining, and deploying mobile applications that align with organizational IT strategies. The ideal candidate will work closely with engineering and product teams to deliver new features, upgrade the mobile application stack, and enhance mobile architecture and user experience.   Responsibilities Create and deliver new mobile applications, products, and protocols to fulfill business requirementsStay informed about the latest mobile app development trends, terminology, and best practicesCollaborate with team members to continuously improve app functionality and designBuild and evaluate mobile services and implementations for tools like O365, OneDrive for Business, Cisco WebEx, and other Microsoft applicationsAnalyze and assess applications for mobile deployment, collaborating with business partners to validate functionalityIdentify and resolve inconsistencies in internal systems that impact user experienceRecommend enhancements to processes, implementation strategies, and overall performanceDevelop and maintain a mobile technology roadmap aligned with business objectives and IT strategies   Requirements Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related fieldAt least 2 years of experience in iOS developmentProficiency in Microsoft Intune for managing mobile devicesStrong knowledge of Objective-C and Swift for iOS application developmentHands-on experience with REST APIs and integrating iOS apps with backend servicesUnderstanding of iOS design principles and development patternsPractical experience in deploying and managing iOS applicationsProven ability to make technical architectural decisions and provide guidance to development teamsExperience in creating comprehensive technical documentationAbility to interpret and implement technical plans and roadmaps effectivelyFluent English communication skills, both written and spoken, at a B1 level or higher   Nice to have Experience in developing Android applications is an advantage   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Product Manager focused on service automation transformation within the travel landscape. You will define product requirements, develop strategic roadmaps, and collaborate across functions to deliver exceptional user experiences. Apply now to contribute to innovative service solutions.   Responsibilities Define comprehensive product and technology requirements for service transformationDevelop and deliver strategic product vision including development roadmap and go-to-market strategyManage product development lifecycle, including timelines and scopeCollaborate with engineering teams to ensure product feasibility and qualityPartner with designers to create exceptional user interfaces and experiencesCoordinate with product marketing on go-to-market strategiesManage project resources, budgeting, and prioritization with strategic decision-makingMaintain consistent communication with stakeholders about product vision, roadmap, and progressGather and address feedback to refine product directionStay informed about competitive products and emerging service trends   Requirements 2+ years of product management experience in agile environmentsExperience in travel and/or B2B sectorsProven track record of successful product launches from concept to post-launch analysisPassion for technology, travel, and customer serviceStrong problem-solving skills for complex customer challengesExcellent interpersonal and collaborative skillsExceptional written and verbal communication abilitiesAdvanced organizational and project management capabilitiesExperience with JiraProficiency in writing user storiesUnderstanding of product development technologiesBachelor's degree or equivalentB2+ level English proficiency   Nice to have Software engineering background   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a seasoned Chief Data Engineer with extensive expertise in computer vision and machine learning to lead the creation of an AI-driven platform for photo evaluation and personalized recommendations. In this role, you will design systems that analyze and rank photos based on their potential for personalized physical products. This opportunity combines semantic image analysis, aesthetic scoring, and behavioral personalization into a cohesive recommendation framework.   Responsibilities Build systems using CNN-based models and transformer-based vision architectures to analyze, score, and tag photos with metadataDevelop models for facial recognition, grouping, and expression analysisCreate contextual categories for photos, such as events, vacations, and portraitsAssess photos for aesthetic appeal and their suitability for printingDevelop object and scene detection models to extract meaningful metadata from imagesDesign and prototype advanced transformer architectures tailored to meet product creation needsBuild scalable pipelines to process large datasets and generate structured, queryable metadataIntegrate image intelligence outputs into applications such as search, ranking, and personalizationDesign and deploy transformer-based machine learning models to analyze user behavior and purchasing patterns for personalized recommendationsLead experimentation frameworks like A/B testing to improve recommendation accuracy and user engagementOversee the development, management, and deployment of machine learning models, ensuring robust documentation and seamless integration into production environmentsWork collaboratively with cross-functional teams to operationalize model development and ensure successful implementationCommunicate effectively with stakeholders and team members, demonstrating a proactive and self-directed approach   Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experienceAt least 7 years of experience in software engineering or AI/ML rolesMinimum of 2 years of experience managing and leading development teamsParticipation in at least 2 full-cycle projects or involvement in multiple phases of various development lifecyclesExpertise in computer vision techniques, including CNNs, vision transformers, facial recognition, object detection, image classification, and embedding creationStrong experience with recommendation systems, including collaborative filtering and deep learning for personalizationAdvanced knowledge of transformer-based models for recommendation systemsProficiency in Python for building and deploying machine learning solutionsExperience deploying machine learning models at scale using tools such as Docker, AWS, or GCPProven ability to lead cross-functional technical projects from concept to implementationComprehensive understanding of the machine learning lifecycle, including data management, model evaluation, explainability, and observabilityStrong English communication skills, both written and spoken, at a B2+ level   Nice to have Experience with machine learning libraries like PyTorch or TensorFlowHands-on experience with advanced techniques such as diffusion models, graph neural networks (GNNs), or reinforcement learning   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a highly experienced and driven Senior Data Delivery Manager to ensure the successful execution of data projects, fostering collaboration with stakeholders and delivering technically sound solutions. The role entails responsibility for delivery processes, resource planning, and client engagement, with a strong emphasis on Big Data solutions and cloud infrastructure.   Responsibilities Ensure the successful execution of end-to-end solution delivery for assigned accounts while acting as the main contact for delivery-related concernsMaintain compliance with delivery management processes and governance frameworks defined by chosen modelsOversee resource allocation and staffing to align with the delivery roadmap, prioritizing suitable expertise and seniorityDefine and guide the technical architecture of solutions to ensure quality standards and scalabilityFacilitate collaboration between stakeholders and disciplines to achieve project objectivesDevelop long-term client partnerships and address challenges related to engagement risksPrepare customer proposals, statements of work, and related project documentationApply best practices, methodologies, and agile principles throughout the delivery lifecycleIdentify and mitigate risks through effective risk management strategiesAnalyze, measure, and improve delivery productivity for consistent advancementContribute to sales efforts by supporting bid processes and sharing delivery insightsOffer mentorship and coaching to other delivery managers within the team   Requirements At least 9 years of experience with Data and Analytics projects, emphasizing Big Data, Data Warehousing, and Business IntelligenceBackground in Python, Scala, or Java and familiarity with Big Data tools such as Hadoop, Spark, Hive, or KafkaExpertise in delivering data platform engineering solutions, addressing both batch and real-time data workflowsProficiency in SQL and capability to design and maintain Big Data systemsPrevious experience leading cloud migration projects with AWS, Azure, or GCPUnderstanding of data architecture principles and data security challengesKnowledge of data visualization tools and an understanding of traditional analytics approachesCompetency in managing tasks in dynamic and fast-paced environments with excellent client communication skills at a C1 English levelFamiliarity with methodologies for project delivery and agile workflows without overlooking change management   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Become a Lead AI/Computer Vision Engineer driving the creation of advanced AI solutions that analyze visual content and personalize product recommendations. You will spearhead the integration of computer vision, semantic image understanding, and behavioral AI into scalable intelligent systems. Join us to shape innovative AI technologies that elevate client experiences and deliver impactful results.   Responsibilities Develop and enhance CNN and transformer-based vision models for image evaluation and scoringDesign and implement custom transformer architectures to support product developmentBuild robust pipelines to handle high volumes of image data and produce structured metadataIntegrate visual intelligence into applications like search, ranking, and personalizationDeploy transformer-based models for tailored product recommendationsLead experimentation processes including A/B testing to optimize recommendation quality and conversion ratesManage and document the complete ML model lifecycle from development to deploymentCollaborate with cross-functional teams to lead technical initiatives from concept through executionEnsure adherence to best practices in data handling, model assessment, explainability, and monitoring   Requirements Extensive software engineering experience with over 5 years focused on AI/ML rolesIn-depth expertise in computer vision methods including CNNs, vision transformers, facial recognition, object detection, image classification, and embeddingsStrong background in recommendation systems, collaborative filtering, deep learning personalization, and transformer-based recommendation techniquesProficiency in Python and ML frameworks such as PyTorch and TensorFlowExperience deploying machine learning models at scale using Docker, AWS, GCP, or equivalent platformsDemonstrated leadership in managing cross-functional technical projects from inception to deliveryComprehensive understanding of ML lifecycle best practices including data management, model evaluation, explainability, and observabilityMaster’s degree in Computer Science or a related discipline, preferably with a math or physics emphasisEnglish communication skills at B2 level or above   Nice to have Practical experience with diffusion modelsKnowledge of graph neural networks (GNNs)Understanding of reinforcement learning concepts   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Lead Data Scientist to guide the creation and deployment of machine learning solutions designed to boost player engagement. You will collaborate with cross-functional teams to interpret player behavior, create user segmentation strategies, and refine content recommendation systems.   Responsibilities Design A/B tests to assess system performance and player engagementApply segmentation analysis to categorize players by demographics, playing patterns, and content interaction rolesBuild machine learning models to improve content recommendations for usersStreamline workflows and maintain reproducibility across data science projectsUtilize Databricks on AWS to process and manage extensive data efficientlyWork with product teams to define objectives and deliver actionable insightsIncorporate behavioral analytics to predict and analyze player engagement trends   Requirements 5+ years of experience in data science, machine learning, or a relevant fieldProficiency in A/B testing methods, PySpark, and data science reproducibility practicesExpertise in Databricks, AWS, and processing large-scale dataBackground in behavioral or player analytics within gaming or equivalent sectorsSolid foundation in customer or segment-based analytics and predictive modelingStrong written and verbal English communication skills (B2+)   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking an experienced and detail-focused Senior BI Analyst to join our dynamic team. In this position, you will play a key role in turning complex data into actionable insights, building sophisticated business intelligence tools, and empowering stakeholders to make informed decisions. This role is ideal for a professional looking to make a meaningful impact in a fast-paced, data-centric organization. Be part of our journey to revolutionize data strategies and lead innovation.   Responsibilities Collaborate with stakeholders to identify business needs, gather requirements, and define project objectivesExamine and document workflows, business processes, and system interactions to derive actionable insightsPropose creative, data-driven solutions aimed at improving processes and driving business successOrganize workshops, conduct interviews, and lead efforts to gather and clarify requirementsDevelop detailed documentation, including project specifications, user stories, and use casesAct as the primary link between business stakeholders and technical teams throughout the development cycleTranslate business requirements into technical specifications for development teams to executeAssist in testing and implementing solutions to ensure they align with business needs and expectationsOversee multiple projects in a fast-moving environment, ensuring timely and high-quality delivery   Requirements A minimum of 3 years of experience as a BI Analyst, ideally with expertise in the insurance sectorAdvanced skills in SQL for data analysis, validation, and creating prototype queries, including joins, aggregates, and basic window functionsStrong knowledge of data warehousing concepts, including ETL/ELT processes, Data Lakes, Data Marts, star and snowflake schemas, and the distinction between fact and dimension tablesHands-on experience with BI tools such as Power BI or Tableau for developing dashboards and visualizationsUnderstanding of data quality principles like accuracy, completeness, consistency, and timeliness, along with experience validating or testing reportsAbility to translate business goals into KPIs, metrics, and reporting frameworksExperience working with data models, including ER diagrams and understanding entity relationshipsFamiliarity with master data, reference data, and metadata management conceptsKnowledge of Agile or Scrum methodologies and experience using tools like Jira, Confluence, and Microsoft Office SuiteProven ability to independently suggest innovative ideas and process improvementsStrong skills in communication, stakeholder management, and presenting insights effectivelyEnglish proficiency at B2 level or above to support effective communication and collaboration   Nice to have Comprehensive understanding of insurance industry processes and regulatory requirementsExperience with alternative BI tools or an interest in exploring emerging technologies in the field of data analytics   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are searching for an accomplished Senior Data Delivery Manager to lead the successful execution of data-driven projects. In this role, you will oversee the delivery of complex data initiatives, ensuring they meet business objectives while fostering collaboration between technical teams and stakeholders. If you are passionate about delivering impactful solutions through data and thrive in a dynamic, results-oriented environment, we’d love to hear from you.   Responsibilities Oversee all aspects of data project delivery to ensure they meet organizational goals and are completed on scheduleCollaborate with data engineers, analysts, and stakeholders to maintain alignment and focus on shared objectivesTrack project timelines, identify risks, and implement necessary adjustments to ensure successful outcomesCreate and manage comprehensive project plans, including schedules, milestones, and resource allocationAdvocate for and implement best practices in data delivery and management across teamsEnsure consistency, accuracy, and reliability of data throughout all phases of project executionWork with stakeholders to identify data requirements and translate them into actionable plansAct as a bridge between technical teams and business units to ensure alignment and clear communicationEnhance operational workflows to improve efficiency and scalability in project deliveryAssess project results and provide frequent progress updates to leadership and stakeholders   Requirements Over 10 years of professional experience in IT, with a strong focus on data science and analyticsAt least 5 years in leadership roles, such as Architect, Manager, or Lead, within Agile or hybrid project environmentsProven track record of managing teams of 40 or more professionals across multiple disciplinesExperience completing a minimum of 8 full project lifecycles or successfully launching 2+ major products or critical features to marketExpertise in planning, managing, and evaluating the delivery of intricate data projectsAbility to design and execute data strategies that align with business priorities and support data-driven decision-makingProficiency in data profiling to uncover patterns, address quality concerns, and maximize data utilityAdvanced written and verbal communication skills in English, with professional fluency   Nice to have Certifications in project delivery methodologies, such as PMP, PRINCE2, or equivalent qualificationsIn-depth knowledge of advanced data platforms and tools to drive delivery efficiencyFamiliarity with Agile principles and their application to structuring and managing data-centric initiatives   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our dynamic team as a Senior BI Analyst, focusing on data analysis and business intelligence frameworks to drive strategic decisions in a collaborative environment.

Join our team as a Lead Data Integration Analyst and take a central role in enhancing our enterprise data warehouse. Work closely with business stakeholders and IT teams to address data challenges and uphold the integrity of our data processes. If you have a passion for data analysis and seek to make a meaningful impact, we encourage you to apply.   Responsibilities Analyze data issues and identify resolutions for the enterprise data warehouseDevelop source-to-target mapping documents to outline data elementsLoad data points from source systems into the enterprise data warehouseEnsure consistency and accuracy of ETL code by working with the ETL teamMatch ETL code with specifications from source-to-target mapping documentsValidate data accuracy after movement into the data warehouseSupport reporting teams in reconciling variances between the data warehouse and source systems   Requirements At least 5 years of experience in data analysis within an enterprise data warehouseA minimum of 1 year of relevant leadership experienceAdvanced knowledge of SQLProficiency in data warehousing concepts and frameworksExpertise in ETL and BI architecturesCapability to design and optimize Semantic Layer Reporting ViewsEnglish communication skills at a B2+ proficiency level   Nice to have Knowledge of Guidewire Policy Center applicationsFamiliarity with Guidewire Claims Center systemsUnderstanding of SAP FS-RI toolsExperience in working with SAP FS-CD solutionsBackground in the insurance sector   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Senior Data Integration Analyst, where you will play a vital role in optimizing our enterprise data warehouse. You will collaborate with business stakeholders and IT teams to resolve data issues and ensure the integrity of our data processes. If you are passionate about data analysis and want to make a significant impact, we encourage you to apply.   Responsibilities Analyze and resolve data issues for the enterprise data warehouseCreate source-to-target mapping documents to capture data elementsLoad mapping documents from source systems into the enterprise data warehouseCollaborate with the ETL team to ensure accurate ETL codeAlign ETL code with source-to-target mapping requirementsPerform data validation for correct data movement into the data warehouseConsult with reporting teams to address variances between the data warehouse and source systems   Requirements Experience in data analysis within an enterprise data warehouse for 3+ yearsStrong knowledge of SQLProficiency in data warehousing concepts and frameworksExpertise in ETL and BI architecturesCapability to create and tune Semantic layer Reporting ViewsFluent English communication skills at a B2+ level   Nice to have Knowledge of Guidewire Policy CenterFamiliarity with Guidewire Claims CenterUnderstanding of SAP FS-RI applicationsExperience with SAP FS-CD applicationsBackground in insurance industry   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a skilled Data Quality Engineer to join our driven team, collaborating on data ingestion processes and enabling the effective utilization of high-quality data across the company. In this role, you will contribute to an innovative supply-chain data analytics platform that leverages artificial intelligence to transform supply-chain insights and deliver domain-specific recommendations.   Responsibilities Define, implement, and maintain tooling and processes for data quality management from scratchBuild and enforce data quality validations within ETL pipelinesSet up monitoring dashboards and alerts to ensure continuous data quality trackingCollaborate with cross-functional teams to ingest, profile, and standardize data from multiple external sourcesLeverage SQL and Python to analyze and enhance data quality metricsUtilize AWS services, such as reading from S3, for data profiling and validation tasksPartner with clients to identify and resolve data quality issues, ensuring effective communication and delivery of solutionsWork effectively amidst ambiguity and in a fast-paced startup environment to execute tasks independentlyFoster transparency and proactivity within the team and with stakeholders   Requirements Strong experience spanning over 2 years as a Data Quality Engineer or in similar roles, with a proven ability to establish processes and toolsShowcase of implementing data quality checks in ETL pipelines and creating interactive dashboards and alertsProficiency in SQL and Python for data quality tasksFamiliarity with AWS services, with a focus on data profiling and reading data from S3Background in client-facing roles, demonstrating excellent communication skills and proactivityCapability to independently execute tasks and maintain productivity without constant directionFlexibility to adapt to a fast-paced startup environment with transparent and collaborative workflowsEnglish level B1+ for effective communication   Nice to have Expertise in profiling data using Glue Data QualityHands-on experience working with Databricks and PySparkFamiliarity with multiple data quality monitoring frameworks or tools such as Great Expectations, SODA, Lightup, etc.   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Se busca un Senior Data Delivery Manager para liderar la implementación de iniciativas centradas en datos, gestionando proyectos complejos y promoviendo la colaboración entre equipos técnicos y partes interesadas del negocio.

Se requiere un Senior Data Delivery Manager para liderar proyectos de datos, enfocado en soluciones de Big Data y arquitectura en la nube, gestionando procesos de entrega y relaciones con clientes.

We are seeking an accomplished Senior Data Analyst to join our team and play a pivotal role in advancing data-driven decision-making across the organization. In this position, you will work closely with cross-functional teams to interpret complex data, generate actionable insights, and contribute to strategic initiatives. This role provides an exciting opportunity for a seasoned professional to make a meaningful impact in a collaborative and forward-thinking environment.   Responsibilities Examine large datasets to uncover meaningful insights, trends, and patterns that support organizational objectivesCollaborate with stakeholders to identify data requirements and deliver customized solutionsBuild and maintain dashboards and reports to monitor key metrics and performance indicatorsEnsure data integrity, consistency, and dependability across reporting systemsCreate and document workflows for data collection, analysis, and reporting processesWork alongside technical teams to develop and implement effective data solutionsSupport the adoption of data strategies to enhance business processes and outcomesKeep abreast of emerging tools, technologies, and methodologies in data analytics   Requirements A minimum of 3 years of experience in data analysis or a related fieldDeep understanding of SDLC methodologies and their application in practiceProven experience implementing SDLC processes in projectsFamiliarity with Agile frameworks and workflowsAdvanced proficiency in SQL for querying and managing databasesHands-on experience with CI/CD tools and pipeline managementExpertise in data visualization tools such as Salesforce TableauStrong command of English, both written and spoken, at a B2+ level or higher   Nice to have Certifications in data analysis, visualization, or relevant disciplinesExperience with cloud platforms such as AWS, Azure, or Google Cloud for data analysis and management   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for an experienced Senior Data Analyst to join our team and play a central role in enabling data-driven decisions across the organization. In this position, you will work with cross-functional teams to evaluate complex datasets, generate actionable insights, and contribute to key strategic initiatives. This is an excellent opportunity for a seasoned professional to make a meaningful impact in a forward-thinking and collaborative environment.   Responsibilities Examine extensive datasets to uncover trends, patterns, and insights that align with business objectivesCollaborate with stakeholders to gather data requirements and deliver customized solutionsDesign and maintain dashboards and reports to monitor key metrics and business performanceEnsure data integrity, consistency, and reliability across all reporting toolsEstablish and document workflows for data collection, analysis, and reporting processesWork with technical teams to create and implement data-driven solutionsAssist in integrating data strategies to enhance processes and deliver better outcomesStay informed about advancements in tools, technologies, and best practices in the field of data analysis   Requirements Minimum of 3 years of experience in data analysis or a related disciplineStrong understanding of SDLC methodologies and their application in practiceProven experience in applying SDLC processes in real-world projectsFamiliarity with Agile methodologies and workflowsAdvanced proficiency in SQL for querying and managing databasesExperience with CI/CD tools and pipeline managementExpertise in using data visualization tools like Salesforce TableauStrong written and verbal communication skills in English at a B2+ level or higher   Nice to have Relevant certifications in data analysis, visualization, or related areasExperience with cloud platforms such as AWS, Azure, or Google Cloud for data analysis and management   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly experienced Senior Data Analyst to join our team and play a key role in driving data-focused decision-making throughout the organization. In this role, you will collaborate with various teams to analyze complex datasets, deliver actionable insights, and support critical strategic initiatives. This position offers an excellent opportunity for a skilled professional to make a significant impact in a collaborative and innovative environment.   Responsibilities Analyze large datasets to identify patterns, trends, and insights that align with organizational goalsPartner with stakeholders to understand data needs and provide tailored solutionsCreate and manage dashboards and reports to track performance metrics and business outcomesEnsure the accuracy, consistency, and reliability of data across reporting platformsDevelop and document workflows for data collection, reporting, and analysis processesCollaborate with technical teams to design and implement data-driven solutionsContribute to the integration of data strategies to improve processes and outcomesStay up to date on new tools, technologies, and techniques in data analysis   Requirements At least 3 years of experience in data analysis or a similar roleStrong knowledge of SDLC methodologies and their practical applicationProven track record of implementing SDLC processes in projectsFamiliarity with Agile methodologies and workflowsAdvanced SQL skills for database management and queryingExperience with CI/CD tools and managing pipelinesExpertise in data visualization platforms such as Salesforce TableauProficiency in English, both written and spoken, at a B2+ level or higher   Nice to have Certifications in data analysis, visualization, or related fieldsExperience working with cloud-based platforms like AWS, Azure, or Google Cloud for data management and analysis   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for an experienced Senior Data Analyst to join our team and play a critical role in enabling data-informed decision-making across the organization. In this position, you will work with diverse teams to explore complex datasets, generate meaningful insights, and support key strategic initiatives. This is an excellent opportunity for a seasoned professional to contribute to impactful projects in a collaborative and forward-thinking environment.   Responsibilities Examine large datasets to uncover insights, trends, and patterns that align with organizational objectivesPartner with stakeholders to gather data requirements and provide customized solutionsDevelop and maintain dashboards and reports to showcase key metrics and business performanceEnsure the accuracy, reliability, and consistency of data across various reporting platformsDesign and document workflows for data gathering, analysis, and reporting processesCollaborate with technical teams to develop and implement data-driven solutionsContribute to the adoption of data-focused strategies to enhance processes and outcomesStay informed about the latest trends, tools, and practices in data analysis   Requirements A minimum of 3 years of experience in data analysis or a similar roleStrong understanding of SDLC methodologies and their application in real-world scenariosProven experience with implementing SDLC processes in projectsProficiency in Agile methodologies and workflowsAdvanced skills in SQL for managing and querying databasesFamiliarity with CI/CD tools and pipeline management systemsExpertise in using data visualization tools such as Salesforce TableauEnglish proficiency at a B2+ level or higher, with strong written and verbal communication skills   Nice to have Certifications in data analysis, data visualization, or related areasExperience with cloud platforms like AWS, Azure, or Google Cloud for managing and analyzing data   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a skilled and detail-oriented Senior BI Analyst to become a vital part of our innovative team. In this role, you will focus on transforming complex datasets into meaningful insights, developing advanced business intelligence solutions, and enabling stakeholders to make informed strategic decisions. This position offers a tremendous opportunity for a professional eager to contribute to impactful projects in a dynamic and data-driven environment. Join us as we redefine data strategies and drive forward-thinking innovation.   Responsibilities Work alongside stakeholders to understand business priorities, gather requirements, and define project goalsAnalyze and document business processes, workflows, and system interactions to uncover valuable insightsIdentify opportunities for improvement and propose creative, data-driven solutions to meet organizational objectivesFacilitate workshops, conduct interviews, and lead sessions for gathering requirements and feedbackCreate clear and comprehensive documentation, including user stories, use cases, and project specificationsAct as the key liaison between business teams and technical teams throughout the project lifecycleConvert business needs into actionable technical specifications for engineering teamsSupport solution implementation and testing to ensure alignment with stakeholder needs and expectationsHandle multiple projects in a fast-paced environment while maintaining a focus on quality and timely delivery   Requirements At least 3 years of experience as a BI Analyst, with preference given to candidates with insurance industry expertiseProficiency in SQL for data analysis, validation, and writing prototype queries, including joins, aggregates, and basic window functionsDeep understanding of data warehouse concepts, including ETL/ELT processes, Data Lakes, Data Marts, star and snowflake schemas, and fact versus dimension table structuresHands-on experience with business intelligence tools such as Power BI or Tableau for creating dashboards and data visualizationsKnowledge of data quality principles such as accuracy, consistency, completeness, and timeliness, along with experience validating or testing reportsAbility to translate business objectives into KPIs, metrics, and reporting frameworksExperience analyzing data models, including ER diagrams and understanding relationships between entitiesFamiliarity with master data, reference data, and metadata management practicesKnowledge of Agile/Scrum methodologies and experience with tools like Jira, Confluence, and Microsoft Office SuiteProven ability to independently suggest ideas, improvements, and effective solutionsStrong communication, presentation, and stakeholder engagement skillsEnglish proficiency at a B2 level or higher to support seamless collaboration   Nice to have In-depth understanding of insurance industry workflows and regulatory compliance frameworksExperience with additional business intelligence tools or a willingness to explore emerging technologies in data analytics   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Lead Data Scientist to join our team. In this position, you will spearhead the use of advanced data science and machine learning methodologies to tackle intricate supply chain issues, enhance processes, and support better decision-making. Working independently while collaborating with Supply Chain engineering teams, you will develop and deploy impactful solutions that utilize AI and data-driven innovations to shape our supply chain strategy.   Responsibilities Build, refine, and implement cutting-edge machine learning models and algorithms designed for supply chain needs, including demand forecasting, inventory management, network design, and logistics optimizationCollaborate with Supply Chain engineering teams to gather insights into their workflows, technical limitations, and data requirementsOversee the entire lifecycle of data science projects, from defining challenges and analyzing data to deploying models and monitoring their performanceLeverage expertise in Generative AI to design applications that incorporate AI capabilitiesUtilize skills in time-series analysis, forecasting, and statistical modeling to analyze supply chain data and external datasetsConduct comprehensive data analyses to identify trends, patterns, and opportunities for enhancing supply chain operationsDeliver insights, findings, and technical concepts to diverse audiences using clear presentations and visualizationsStay informed on advancements in AI and supply chain technologies, experimenting with new methods and approachesCreate and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, automated testing, performance evaluation, and A/B testing   Requirements Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a similar fieldA minimum of 5 years of experience in data science and machine learning, with a specialization in supply chain applicationsAt least 1 year of experience leading and managing development teamsProficiency in cloud computing platforms like AWS, Azure, or GCP, as well as experience with machine learning tools such as MLFlowAdvanced knowledge of both relational SQL and NoSQL databasesStrong programming skills in languages such as Python, R, Scala, or Rust, along with experience in machine learning frameworks and librariesDeep understanding of supply chain concepts, processes, and data structuresDemonstrated ability to deploy data science solutions that enhance supply chain performanceOutstanding problem-solving skills and analytical thinking for addressing complex challenges creativelyStrong communication skills, enabling collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholdersEnthusiasm for keeping up with industry advancements and sharing knowledge within the teamPractical experience with Generative AI services and open-source modelsSelf-motivated with the ability to independently manage projects and drive them to completionProven ability to excel in dynamic, fast-paced environmentsProficiency in English, both written and spoken, at a B2+ level or higher   Nice to have Familiarity with distributed computing tools like SparkExpertise in deep learning frameworks such as TensorFlow or PyTorch, with hands-on experience in developing complex AI systems   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a detail-oriented and results-driven Senior BI Analyst to join our innovative team. In this role, you will play a key part in turning data into actionable insights, developing business intelligence tools, and enabling stakeholders to make data-informed decisions. This role is perfect for an experienced professional looking to make a meaningful contribution in a dynamic and data-driven organization. Be part of our mission to push boundaries and shape the future of data-driven decision-making.   Responsibilities Work closely with stakeholders to understand business objectives, gather requirements, and outline project goalsExamine and document business processes, workflows, and system interactionsIdentify opportunities for process optimization and propose creative, data-focused solutionsLead workshops, conduct stakeholder interviews, and manage requirements-gathering effortsCreate detailed documentation, including business requirements, user stories, and use casesAct as a key link between business teams and technical teams throughout the project lifecycleConvert business requirements into functional specifications for development teamsAssist in solution implementation and testing to ensure alignment with stakeholder expectationsOversee projects in a fast-paced environment, ensuring timely delivery and maintaining high standards   Requirements At least 3 years of experience as a BI Analyst, preferably in the insurance sectorProficiency in SQL for data analysis, validation, and writing prototype queries, including joins, aggregates, and basic window functionsStrong understanding of data warehouse architecture, including ETL/ELT processes, Data Lakes, Data Marts, star and snowflake schemas, and the distinction between fact and dimension tablesHands-on experience with BI tools such as Power BI or Tableau for creating interactive dashboards and visualizationsFamiliarity with data quality concepts such as accuracy, consistency, completeness, and timeliness, as well as experience with validation or user acceptance testing of reportsAbility to translate business needs into KPIs, metrics, and reporting frameworksExperience analyzing data models, including ER diagrams and relationships between entitiesKnowledge of master data, reference data, and metadata management principlesUnderstanding of Agile/Scrum practices and experience with tools like Jira, Confluence, and Microsoft Office SuiteProven ability to independently suggest new ideas, improvements, and innovative solutionsStrong communication, presentation, and stakeholder management abilitiesEnglish fluency at B2 level or higher for effective collaboration and communication   Nice to have Deep understanding of insurance industry processes and regulatory standardsFamiliarity with other BI tools or eagerness to explore emerging technologies in the field of data analytics   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for an experienced Chief Data Scientist to lead the development and implementation of machine learning solutions aimed at enhancing player engagement. In this role, you will work closely with cross-functional teams to analyze player behavior, develop segmentation strategies, and optimize content recommendation systems. Your expertise will drive actionable insights and strategic improvements across gaming platforms.   Responsibilities Design A/B tests to assess system performance and player engagementApply segmentation analysis to categorize players by demographics, playing patterns, and content interaction rolesBuild machine learning models to improve content recommendations for usersStreamline workflows and maintain reproducibility across data science projectsUtilize Databricks on AWS to process and manage extensive data efficientlyWork with product teams to define objectives and deliver actionable insightsIncorporate behavioral analytics to predict and analyze player engagement trends   Requirements 5+ years of experience in data science, machine learning, or a relevant fieldProficiency in A/B testing methods, PySpark, and data science reproducibility practicesExpertise in Databricks, AWS, and processing large-scale dataBackground in behavioral or player analytics within gaming or equivalent sectorsSolid foundation in customer or segment-based analytics and predictive modelingStrong written and verbal English communication skills (B2+)   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a Chief Data Scientist to join our team. In this role, you will take the lead in applying advanced data science and machine learning techniques to address complex supply chain challenges, improve processes, and drive smarter decision-making. You will work independently while collaborating with Supply Chain engineering teams to design and implement impactful solutions that leverage AI innovations and data-driven strategies to shape the future of our supply chain operations.   Responsibilities Develop, optimize, and deploy advanced machine learning models and algorithms tailored to supply chain applications, such as demand forecasting, inventory optimization, network planning, and logistics improvementsWork closely with Supply Chain engineering teams to understand their data requirements, workflows, and technical constraintsManage the full lifecycle of data science projects, from problem identification and data exploration to model implementation and performance trackingUtilize expertise in Generative AI to build applications that integrate AI servicesApply advanced knowledge of time-series analysis, forecasting, and statistical modeling to supply chain and external data sourcesPerform in-depth data analyses to uncover patterns, trends, and opportunities to enhance supply chain efficiencyPresent insights, findings, and technical concepts to diverse audiences through clear and effective visualizations and narrativesStay up-to-date on the latest advancements in AI and supply chain technologies, experimenting with innovative techniques and solutionsDesign and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, testing, and performance evaluation   Requirements Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a related fieldAt least 7 years of experience in data science and machine learning, with a focus on supply chain applicationsA minimum of 2 years of experience leading and managing teams, with the ability to drive technical direction, enforce best practices, and deliver high-quality outcomesParticipation in at least 2 full-cycle projects or involvement in multiple projects across different stages of the development lifecycleExpertise in cloud platforms such as AWS, Azure, or GCP, along with experience using machine learning tools like MLFlowAdvanced proficiency in relational SQL databases and NoSQL systemsStrong programming skills in languages such as Python, R, Scala, or Rust, with experience using machine learning libraries and frameworksDeep understanding of supply chain principles, processes, and data structuresProven record of deploying data science solutions that improve supply chain performanceExcellent problem-solving skills and analytical abilities for addressing complex challenges creativelyStrong communication skills to collaborate effectively with diverse teams and explain technical concepts to non-technical stakeholdersPassion for staying informed about industry trends and sharing knowledge with team membersHands-on experience with Generative AI services and open-source modelsSelf-starter with the ability to manage projects independently and ensure their successful completionComfortable working in fast-paced, dynamic environmentsFluent in English, both written and spoken, at a B2+ level or higher   Nice to have Experience with distributed computing technologies such as SparkAdvanced knowledge of deep learning frameworks like TensorFlow or PyTorch, with practical experience in building complex AI systems   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a skilled Data Consultant to join our team and make an impact by bridging the gap between business needs and data-driven strategies. In this position, you will play a crucial role in helping organizations harness their data to drive insights and valuable outcomes. This role offers an exciting opportunity to work on innovative projects and collaborate with industry-leading technologies in the field of data analytics.   Responsibilities Work with stakeholders to understand business challenges and translate them into tailored data-driven solutions aligned with company objectivesEstablish key success metrics, define desired product outcomes, and track progress to ensure results deliver measurable business impactCollaborate closely with Solution Architects and Data Engineers to design and implement scalable, efficient data solutionsLead consulting engagements while supporting presales activities by showcasing expertise in analytics and understanding client requirementsOversee and prioritize the product backlog to ensure alignment with strategic goals and customer expectationsPerform frequent evaluations of data quality and availability to identify improvement opportunities within governance processesKeep up with emerging trends and developments in data analytics and integrate this knowledge into ongoing projectsAssist with data integration, processing, and preparation efforts to ensure availability of clean, actionable data for decision-makingEffectively communicate data insights and strategies to technical and non-technical audiences, ensuring all stakeholders remain aligned   Requirements At least 5+ years of experience working as a Data Analytics Consultant, Data Product Manager, or in a similar consulting capacityA minimum of 2 years in leadership roles such as Manager, Owner, Architect, or CoordinatorAt least 1 year of experience managing a team of five or more membersParticipation in at least two full-cycle projects or multiple projects across various phases of developmentDeep understanding of data platforms and hands-on experience delivering solutions like data lakes, advanced analytics systems, and reporting toolsProficiency in SQL and Python with strong coding capabilities in bothExperience working with cloud platforms such as AWS, Azure, or GCP and their related data servicesComprehensive knowledge of data architecture, lifecycle management, and data product design principlesDemonstrated leadership and project management experience in data-focused initiativesExceptional analytical skills with the ability to distill complex problems and present findings clearlyAbility to work effectively with technical teams and business stakeholders to deliver impactful data solutionsProven ability to lead and deliver data projects that address business challenges while achieving measurable outcomesStrong organizational skills with the ability to balance multiple priorities and projects concurrentlyFluency in English, both written and spoken, at a B2 level or higher   Nice to have Experience using advanced visualization tools such as Tableau, Power BI, or LookerCertifications in cloud technologies such as AWS, Azure, or GCPHands-on experience with big data tools like Hadoop, Spark, or KafkaFamiliarity with AI/ML-based solutions and predictive analyticsKnowledge of Agile or Scrum methodologies for managing projectsAbility to deliver presentations and lead client-facing workshops or training sessions   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a seasoned Data Consultant to join our team and deliver impactful solutions by aligning business objectives with data-driven strategies. In this role, you will empower organizations to harness the value of their data, uncover actionable insights, and achieve measurable outcomes. This opportunity allows you to work on cutting-edge projects while leveraging advanced technologies in the data analytics space.   Responsibilities Collaborate with stakeholders to identify business challenges and create tailored data solutions that align with organizational goalsDefine performance metrics, establish desired outcomes, and track progress to ensure measurable successWork closely with Solution Architects and Data Engineers to design and execute scalable, high-performing data strategiesLead consulting engagements and contribute to presales activities by showcasing expertise in analytics and understanding client needsOversee and prioritize the product backlog to ensure alignment with strategic objectives and customer requirementsEvaluate data quality and availability, identifying areas for improvement in governance and processesStay informed about the latest trends and advancements in data analytics, integrating them into ongoing initiativesAssist with data integration, processing, and preparation efforts to ensure clean, reliable data for decision-makingCommunicate findings and strategies effectively to both technical and non-technical audiences, ensuring alignment among stakeholders   Requirements A minimum of 5 years of experience in roles such as Data Analytics Consultant, Data Product Manager, or similar positions in consultingAt least 2 years of experience in leadership roles like Manager, Architect, Owner, or CoordinatorA minimum of 1 year of experience managing a team of five or more individualsExperience contributing to at least two full project life cycles or working across multiple phases of various projectsStrong expertise in data platforms and a proven track record of delivering solutions like data lakes, analytics systems, and reporting toolsAdvanced proficiency in SQL and Python with strong coding capabilities in bothHands-on experience with cloud platforms such as AWS, Azure, or GCP and their associated data servicesDeep knowledge of data architecture, lifecycle management, and data product design principlesDemonstrated leadership and project management experience in data-driven initiativesStrong analytical abilities to simplify complex challenges and deliver actionable insightsProven ability to collaborate effectively with technical teams and business stakeholders to deliver impactful solutionsA track record of successfully leading and delivering data projects that address business needs and achieve measurable resultsExcellent organizational skills and the ability to manage multiple priorities and projects simultaneouslyFluency in English, both written and spoken, at a B2 level or higher   Nice to have Experience using data visualization tools such as Tableau, Power BI, or LookerCertifications in cloud platforms like AWS, Azure, or GCPHands-on experience with big data technologies such as Hadoop, Spark, or KafkaFamiliarity with AI/ML technologies and predictive analytics solutionsKnowledge of Agile or Scrum methodologies for effective project managementAbility to lead client-facing workshops, deliver presentations, and conduct training sessions   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a talented Data Consultant to join our team and drive impactful solutions by connecting business needs with data-driven strategies. In this role, you will help organizations leverage their data to uncover insights and achieve meaningful results. This position provides an exciting opportunity to work on cutting-edge projects and collaborate with industry-leading technologies in data analytics.   Responsibilities Partner with stakeholders to identify business challenges and develop tailored data solutions aligned with organizational goalsDefine success metrics, establish desired outcomes, and monitor progress to ensure measurable business impactCollaborate with Solution Architects and Data Engineers to design and implement scalable and efficient data strategiesLead consulting engagements and support presales efforts by demonstrating expertise in analytics and understanding client needsManage and prioritize the product backlog to align with strategic objectives and customer expectationsEvaluate data quality and availability regularly to identify areas for improvement within governance processesStay informed on emerging trends in data analytics and incorporate them into ongoing initiativesSupport data integration, processing, and preparation efforts to ensure clean, actionable data for decision-makingCommunicate insights and strategies effectively to both technical and non-technical audiences, ensuring alignment among stakeholders   Requirements At least 5 years of experience as a Data Analytics Consultant, Data Product Manager, or in a similar consulting roleA minimum of 2 years in leadership positions such as Manager, Owner, Architect, or CoordinatorAt least 1 year of experience managing a team of five or more individualsParticipation in at least two full project life cycles or involvement in multiple phases across various projectsStrong understanding of data platforms and hands-on experience delivering solutions like data lakes, analytics systems, and reporting toolsProficiency in SQL and Python with advanced coding skills in bothExperience with cloud platforms such as AWS, Azure, or GCP and their associated data servicesIn-depth knowledge of data architecture, lifecycle management, and data product design conceptsDemonstrated leadership and project management experience in data-driven initiativesAdvanced analytical skills with the ability to simplify complex problems and present actionable insightsProven ability to collaborate with technical teams and business stakeholders to deliver impactful solutionsTrack record of successfully leading and delivering data projects that address business challenges and deliver measurable resultsStrong organizational skills with the ability to manage multiple priorities and projects simultaneouslyProficiency in English, both written and verbal, at a B2 level or higher   Nice to have Experience with advanced visualization tools such as Tableau, Power BI, or LookerCertifications in cloud platforms such as AWS, Azure, or GCPHands-on experience with big data tools like Hadoop, Spark, or KafkaFamiliarity with AI/ML technologies and predictive analyticsKnowledge of Agile or Scrum methodologies for project managementAbility to lead workshops, deliver presentations, and conduct client-facing training sessions   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Senior C++ Developer to lead and advance test automation tools for Unreal Engine-based game experiences. You will drive the technical governance of the project, meet deadlines, ensure quality delivery, and contribute to complex solutions when capacity allows. Apply now to play a key role in shaping our automation frameworks and tools.   Responsibilities Collaborate with the client to align expectations and negotiate solutionsDevelop tools and solutions for repetitive tasks to improve efficiency and productivityIntegrate new solutions with existing tools and pipelinesWrite clean, maintainable, and well-documented codeResolve complex technical blockers, including debugging C++ and C# code in Unreal Engine Automation solutionsDevelop, maintain, and improve automation solutions, tools, and frameworksIntegrate tools and automation solutions into CI systems and debug themContribute to the overall technical vision of the teamWork with engineering leadership to ensure appropriate frameworks provide performance metrics for nightly builds   Requirements Strong experience in C++ with at least 3 years in a senior roleExperience in C# development at a medium levelKnowledge of test automation principles and metricsUnderstanding of test automation framework structures and approaches including data-driven developmentGood understanding of CI/CD processesExperience with test runners such as MSTest, NUnit, Catch2, GoogleTest, or PytestExperience working with version control principles and tools like Perforce and GitHubGood knowledge of HTTP protocol and API platforms such as Postman or curlExperience with XML and MySQL databasesFamiliarity with Windows and Linux operating systemsStrong collaboration and communication skillsGood leadership skills with the ability to work independently in a fast-moving environmentGeneral understanding of the Testing PyramidEnglish proficiency at B2 level or higher   Nice to have Experience with test automation drivers such as Selenium, Appium, or MS Automation DriverMedium level of Python programmingUnderstanding of keyword-driven and behavior-driven development approachesBasic understanding of 3D and 2D graphicsExperience with command line interfaces like Cmd or PowerShellBachelor's degree in Computer Science, Software Engineering, or related field   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Lead C++ Developer needed to enhance test automation tools for Unreal Engine projects. Oversee technical governance, ensure quality, and tackle complex challenges while shaping automation frameworks.

Join our dynamic team as a Lead Business Analyst, where you will spearhead business and technology transformations by gathering requirements, analyzing processes, and designing solutions. You will lead cross-functional stakeholder engagement, mentor junior analysts, and collaborate with leadership to deliver scalable, user-centric solutions. Apply now to shape impactful roadmaps and drive innovation.   Responsibilities Lead stakeholder engagement to align business and technology objectivesTranslate business needs into clear functional specificationsDrive business analysis activities planning and executionEnsure requirements traceability management throughout project lifecyclesMentor and guide junior Business Analysts to establish best practicesCollaborate with product, technology, and operations teams for solution designPartner with leadership to develop strategic roadmapsAnalyze business processes to identify improvement opportunitiesCoordinate with data teams utilizing Azure Synapse Analytics and DatabricksValidate data insights through SQL queries and BI toolsFacilitate communication between technical and non-technical teamsManage project timelines and deliverables to meet client expectationsSupport change management initiatives related to business transformationProvide expert advice on BI analysis and data-driven decision making   Requirements Extensive experience in BI analysis with 5+ years in business analysis rolesProven leadership experience in managing teams or projectsStrong expertise in Azure Synapse Analytics and Databricks platformsAdvanced skills in SQL for data analysis and validationDemonstrated ability in requirements traceability managementEffective stakeholder management and communication skillsExperience in planning and executing business analysis activitiesStrong problem-solving and analytical thinking abilitiesExcellent verbal and written English communication skills (B2+)   Nice to have Certification in Business Analysis (e.g., CBAP)Experience with Agile methodologiesKnowledge of additional cloud data platformsFamiliarity with data visualization tools   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Become a key player as a Chief Business Analyst, driving transformative business and technology initiatives through expert BI analysis and comprehensive stakeholder engagement. You will lead and mentor teams, collaborate with leadership, and ensure delivery of robust, user-centric solutions. Apply today to influence strategic roadmaps and foster innovation.   Responsibilities Direct stakeholder collaboration to align business goals with technological solutionsConvert business requirements into detailed functional documentationOversee planning and execution of business analysis tasksMaintain thorough requirements traceability during project phasesCoach and support junior analysts to promote best practicesWork closely with product, technology, and operations teams to design effective solutionsCollaborate with senior leadership to craft strategic business roadmapsEvaluate business processes to uncover enhancement possibilitiesCoordinate with data teams leveraging Azure Synapse Analytics and DatabricksConfirm data insights accuracy using SQL and BI softwareBridge communication gaps between technical and business teamsSupervise project schedules and deliverables to satisfy client needsLead change management efforts tied to business transformationAdvise on BI analysis and data-driven strategic decision making   Requirements Proven extensive experience in BI analysis with over 7 years in business analysis rolesDemonstrated leadership capabilities in managing teams or complex projectsAdvanced knowledge of Azure Synapse Analytics and Databricks platformsExpert-level SQL skills for thorough data analysis and validationProficiency in managing requirements traceabilityStrong abilities in stakeholder communication and managementExperience in planning and directing business analysis activitiesExcellent analytical and problem-solving skillsFluent English communication skills at B2 level or above   Nice to have Certification in Business Analysis such as CBAPFamiliarity with Agile project management methodologiesUnderstanding of additional cloud data platformsExperience with data visualization tools   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking an experienced Lead Scala Developer to design and deliver high-performance software solutions while collaborating with cross-functional teams. Ideal for those who excel in fast-paced environments and enjoy working with advanced technologies.

Se busca un Lead Scala Developer con experiencia para diseñar y entregar sistemas de software escalables y de alto rendimiento, colaborando con equipos multifuncionales para impulsar resultados impactantes.

Join our team as a Lead Scala Developer, where you'll design and deliver scalable software solutions while collaborating with cross-functional teams in a dynamic environment.

Join our team as a Senior Automated Tester in .NET, focusing on creating and maintaining automated testing frameworks to deliver high-quality software solutions while collaborating with diverse teams.

Chief Cloud Engineer role focused on building and managing services for over half a billion players worldwide, with an emphasis on optimizing cloud platforms and enhancing operational efficiency.

Lead Data Software Engineer position available remotely, focusing on creating and maintaining data solutions while leading a team of skilled engineers to ensure project success and collaboration with Data Science teams.

Seeking a Lead Data Software Engineer for a remote role to enhance Data Science initiatives and lead a talented team in developing scalable data solutions and managing datamarts.

Se busca un Senior Automated Tester con experiencia en .NET para desarrollar y mantener marcos de pruebas automatizadas, asegurando la entrega de software de alta calidad y colaborando con equipos multifuncionales.

Join our team as an Automated Tester in .NET, where you’ll develop automated testing frameworks and collaborate with cross-functional teams to enhance software quality.

Se busca un Tester Automatizado con experiencia en .NET para construir y mantener marcos de prueba automatizados, garantizando soluciones de software confiables y de alto rendimiento.

Seeking an experienced Neo4j Developer to design and implement advanced graph database solutions with a focus on performance tuning and scalability. Requires deep expertise in Neo4j and at least 5 years of relevant experience.

Experienced Lead Scala Developer needed to design and deliver high-performance software solutions in a fast-paced environment. Collaborate with cross-functional teams and mentor junior developers.

Remote Senior Data Software Engineer position available, requiring expertise in Apache Spark, Microsoft Azure, and Python. Join a high-impact project with a globally recognized brand.

Remote position for a Senior Data Software Engineer skilled in Apache Spark, Azure, and Python. This role involves developing data solutions for a global brand, enhancing business processes and innovation.

Remote Senior Data Software Engineer needed for a high-impact project involving Apache Spark, Microsoft Azure, and Python. Ideal for a tech expert looking to contribute to innovative data solutions for top brands.

Senior Data Software Engineer needed for remote role to develop data solutions for a global brand using Apache Spark, Azure, and Python. Join us to innovate and support business growth with your expertise.

Join our remote team as a Lead Data Software Engineer, overseeing data solutions and mentoring talented professionals to enhance our Data Science projects.

Join our dynamic team as a Chief Python Software Engineer. Lead innovative software solutions in a fast-paced start-up environment while collaborating with skilled professionals on cutting-edge projects.

Senior Machine Learning Engineer with Python expertise needed to drive AI initiatives and develop innovative AI products for clients. Join our team to influence AI strategy and deliver impactful solutions.

Seeking an experienced Senior Full-Stack Developer skilled in Ruby on Rails to join an Agile engineering team, focusing on scalable SaaS multi-tenant platform development. Exciting opportunity for innovation and collaboration.

Se busca un Senior Azure DevOps Engineer para liderar la migración de una plataforma existente de Azure a una solución on-premise. Trabajarás de manera autónoma con Kubernetes, Azure DevOps y Linux en un proyecto de infraestructura crítico.

Lead Microsoft Azure DevOps Engineer role focused on migrating a platform from Azure cloud to on-premises infrastructure, utilizing Kubernetes and Azure DevOps expertise.

Senior Machine Learning Engineer position focused on GenAI project, designing and optimizing backend systems for LLM-driven applications. Requires expertise in MLOps, CI/CD, and cloud technologies.

We are looking for a Machine Learning Engineer to enhance our GenAI initiative, focusing on backend infrastructure for LLM applications using OpenAI APIs with a significant emphasis on MLOps and cloud technologies.

Opportunity for a Senior Performance Analyst to join a team focused on designing, executing, and analyzing performance tests to enhance system efficiency and reliability.

Chief Data Engineer needed to lead AI-driven platform development focused on photo evaluation and personalized recommendations. Requires expertise in computer vision and machine learning to create systems for analyzing and scoring images.

Join a dynamic team as a Senior AI/Computer Vision Engineer to develop cutting-edge AI systems for analyzing visual media and creating personalized product recommendations.

Join our team as a Senior Data Delivery Manager, leading impactful data projects with a focus on Big Data and cloud solutions. Oversee delivery processes, manage resources, and foster client relationships to ensure successful project outcomes.

Join our dynamic team as a Lead Data Analyst, where you will extract, transform, and load data, develop automated workflows, and create advanced Power BI reports to provide valuable insights for internal users. Collaborate closely with clients to ensure actionable insights and maintain the integrity of data. Apply now to grow in a challenging and rewarding environment.   Responsibilities Extract data from Clarity PPM using Spotfire reports and save results to Excel spreadsheetsTransform data with intermediate to advanced Excel functions like Power Query, pivot tables, macros, and Office scriptsLoad data as .csv files to designated SharePoint foldersModify and run UiPath StudioX bots for processes like Automatic Timesheet Approval and BMO PopDevelop and enhance Power BI desktop reports using intermediate to advanced DAX expressionsManage Power BI workspaces, publish reports to the Power BI Service, and deploy as appsUse Power Apps within Power BI reports for comment collection and Power Automate workflows for report refresh automationWrite SQL queries for generating reports and connect Power BI to SQL Server databasesEdit and design SharePoint pages, including configuring web parts and managing permissions for Document Library foldersComplete ad hoc tasks in data analytics and visualization as required   Requirements 5+ years of experience in data analytics and visualizationProficiency in Microsoft Excel with advanced formulas, Power Query, pivot tables, macros, and Office scriptsSkills in Microsoft Power BI, including report development, DAX expressions, workspace management, and report deploymentKnowledge of SQL and competency to write queries for report creationBackground in UiPath StudioX for automating business processesFamiliarity with Microsoft SharePoint, including page design and user permissionsStrong problem-solving skills and high attention to detailFlexibility to operate during Toronto office hours and handle early data extraction tasksGood communication skills and collaboration with clients and teamsEnglish language proficiency at B2 level or above   Nice to have Expertise in integrating Power Apps and Power Automate with Power BI reportsUnderstanding of the Clarity PPM system for project and portfolio managementProficiency in automation techniques and bot development beyond foundational UiPath StudioX levelsCertification in Microsoft Power BI or related analytics toolsCompetency in implementing data governance and security practices within SharePoint environments   We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Se busca un Senior Data Delivery Manager con amplia experiencia para liderar la implementación de iniciativas centradas en datos, asegurando la entrega puntual de proyectos complejos y fomentando la colaboración entre equipos técnicos y partes interesadas.

Opportunity for a Senior Data Analyst to drive data-driven strategies and insights within a collaborative team. Attractive benefits and global project exposure included.

Marketing Performance Expert needed to develop and enhance cleanroom attribution frameworks, lead technical discussions, and improve data measurement approaches. Collaborate with teams to refine analytics and cleanroom technologies.

Seeking a Senior Data Analyst to enable data-informed decision-making, analyze complex datasets, and support strategic initiatives in a collaborative environment.