We are seeking a Data Science Consultant to provide technical leadership and strategic expertise in machine learning and artificial intelligence, guiding the design, development and implementation of advanced ML/AI solutions for our clients. This role connects business needs with innovative AI technologies, ensuring impactful delivery and fostering AI adoption across organizations.
Responsibilities
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Provide technical leadership and strategic direction in ML and AI for client engagements
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Plan, design and deliver responsible AI systems and measurement strategies aligned with client objectives
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Connect across organizational verticals to drive AI adoption and envision new products, solutions and differentiators
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Engage with clients to understand business challenges and communicate how ML/AI solutions address their needs
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Collaborate with data scientists and engineers, leading teams as both a peer and mentor
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Monitor advancements in ML/AI technologies and recommend new approaches considering regulatory impacts
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Act as liaison between business, legal and technology stakeholders within EPAM and client organizations
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Shape ML solutions, scope and price engagements, and lead transitions from sales to delivery phases
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Foster strong client relationships through effective project delivery, communication and issue resolution
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Engage executive and C-level stakeholders to drive enterprise-wide AI adoption
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Support sales and pre-sales activities by assessing data opportunities, responding to RFPs and creating proposals
Requirements
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Extensive experience in a leadership role within Data Analytics, Machine Learning and AI (minimum 12 years)
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Proven track record designing and implementing ML/AI solutions
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Deep understanding of machine learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML and security fundamentals
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Demonstrated experience driving multidisciplinary and geographically distributed teams to deliver AI products
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Comfortable engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
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Ability to explain complex technical concepts to both technical and non-technical audiences
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Proficiency in Python and ML libraries/frameworks such as PyTorch and TensorFlow
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Skills in SQL and cloud platforms such as AWS, Azure or GCP
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Familiarity with highly regulated industries or technology-adjacent regulatory functions
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Excellent problem-solving skills and ability to translate complex business requirements into practical ML/AI solutions
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
