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Data Science Consulting
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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