Data Science Consultant

at  Epam Systems

As one of the world’s leading digital transformation service providers, we are looking to rapidly expand our Data Practice across Europe to meet increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experienced Data Science Consultant to join our dynamic team. The ideal candidate will have a strong background in data science, analytics and IT consulting. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven solutions and provide actionable insights that drive business value.

REQUIREMENTS

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Physics or a related field. Ph.D. is a plus
• Strong experience in data science, analytics or related roles within the IT consulting and services industry
• Strong communication skills, comfortable presenting to senior business leaders
• Deep understanding of LLMs, their strengths and their limitations
• Deep understanding of RAG based solution approaches
• Proven experience as a data scientist with exposure to AI/ML governance and responsible AI practices
• Strong understanding of ML Ops principles and experience in model deployment and management
• Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives
• Expertise in identifying and mitigating bias in AI/ML models
• Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow, Plotly Dash and Streamlit

• Support clients with the definition and implementation of their AI strategy
• Implement and oversee AI governance frameworks, focusing on regulatory compliance and ethical AI principles and ensuring business value from AI investments
• Ideate, design and implement new AI enabled products
• Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices
• Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift
• Engage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms
• Collaborate with legal teams to navigate AI regulatory risks, particularly in the context of the EU AI regulatory framework
• Maintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML
• Support pre-sales activities including client presentations, demos and RFP/RFI responses