AI Governance Specialist

6 days ago

London, Greater London, United Kingdom EPAM Systems Full time
About the Role

We are seeking a highly skilled and experienced Data Science Consultant to join our dynamic team at EPAM Systems. 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.

Key Responsibilities
  • Support clients with the definition and implementation of their AI strategy, ensuring alignment with business objectives and regulatory requirements.
  • 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, leveraging industry trends and emerging technologies.
  • Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices and model performance.
  • 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.
Requirements
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related field.
  • 2+ years of 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.
Our Benefits
  • A competitive group pension plan and protection benefits, including life assurance, income protection, and critical illness cover.
  • Private medical insurance and dental care.
  • Cyclescheme, Techscheme, and season ticket loans.
  • Employee assistance program.
  • Great learning and development opportunities, including in-house professional training, career advisory, and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions, and much more.
  • EPAM Employee Stock Purchase Plan (ESPP).
  • Various perks, such as gym discounts, free Wednesday lunch in-office, on-site massages, and regular social events.

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