Data Science Consultant

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
Provide technical leadership and strategic direction in ML and AI for client engagements
Plan, design and deliver responsible AI systems and measurement strategies aligned with client objectives
Connect across organizational verticals to drive AI adoption and envision new products, solutions and differentiators
Engage with clients to understand business challenges and communicate how ML/AI solutions address their needs
Collaborate with data scientists and engineers, leading teams as both a peer and mentor
Monitor advancements in ML/AI technologies and recommend new approaches considering regulatory impacts
Act as liaison between business, legal and technology stakeholders within EPAM and client organizations
Shape ML solutions, scope and price engagements, and lead transitions from sales to delivery phases
Foster strong client relationships through effective project delivery, communication and issue resolution
Engage executive and C-level stakeholders to drive enterprise-wide AI adoption
Support sales and pre-sales activities by assessing data opportunities, responding to RFPs and creating proposals
Requirements
Extensive experience in a leadership role within Data Analytics, Machine Learning and AI (minimum 12 years)
Proven track record designing and implementing ML/AI solutions
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
Demonstrated experience driving multidisciplinary and geographically distributed teams to deliver AI products
Comfortable engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
Ability to explain complex technical concepts to both technical and non-technical audiences
Proficiency in Python and ML libraries/frameworks such as PyTorch and TensorFlow
Skills in SQL and cloud platforms such as AWS, Azure or GCP
Familiarity with highly regulated industries or technology-adjacent regulatory functions
Excellent problem-solving skills and ability to translate complex business requirements into practical ML/AI solutions