4 días
Expira 27/08/2026
Data Science Consultant
Data Science Consultant
Overview
As a Data Science Consultant, you will provide technical leadership and strategic expertise in machine learning and artificial intelligence, guiding the design and implementation of advanced ML/AI solutions for clients. This role connects business needs with innovative AI technologies, ensuring impactful delivery.
Responsibilities
- Provide technical leadership and strategic direction in ML and AI for client engagements.
- Design and deliver responsible AI systems aligned with client objectives.
- Drive AI adoption across organizational verticals.
- Engage with clients to address business challenges with ML/AI solutions.
- Collaborate with data scientists and engineers, mentoring teams.
- Monitor ML/AI advancements and recommend approaches.
- Liaison between business, legal and technology stakeholders.
- Shape ML solutions and lead transitions from sales to delivery phases.
- Foster strong client relationships.
- Support sales and pre-sales activities.
Requirements
- 12+ years in a leadership role in Data Analytics, Machine Learning and AI.
- Proven track record in ML/AI solution design and implementation.
- Deep understanding of machine learning concepts.
- Experience leading multidisciplinary teams.
- Ability to influence senior stakeholders.
- Proficiency in Python and ML libraries such as PyTorch and TensorFlow.
- Skills in SQL and cloud platforms.
- Familiarity with regulated industries.
- Excellent problem-solving skills.
We Offer
- International projects with top brands.
- Work in global teams of skilled peers.
- Healthcare benefits.
- Employee financial programs.
- Paid time off and sick leave.
- Upskilling and certification courses.
- Access to LinkedIn Learning library.
- Global career opportunities.
- Community involvement opportunities.
- Award-winning culture recognized by various platforms.
Equal Opportunity
EPAM is an Equal Opportunity Employer, ensuring consideration for all qualified applicants regardless of diverse backgrounds.