AI practice lead - Financial services and Insurance

We are seeking an AI leader to drive innovation and delivery across our Financial Services and Insurance portfolio. You’ll oversee the full lifecycle of AI solutions, from ideation to production, shaping strategy, leading multidisciplinary teams, and building new capabilities in a fast-evolving market.

EPAM is where tech talent thrives—building groundbreaking solutions, advancing your skills through world-class learning platforms, and working alongside a global community of problem-solvers to make the future real.

Req# 1060146090

Responsibilities

• Work with clients and internal teams to shape the AI, machine learning, and agentic business and technology vision and go-to-market offerings
• Manage end-to-end data science, artificial intelligence, and agentic projects and programs
• Lead multidisciplinary workshops and design sessions with customers
• Develop high-quality proposals in collaboration with subject matter experts and consultants
• Contribute to the evolution of data science, artificial intelligence, and agentic offerings
• Grow team capacity and capability, build new competencies, mentor team members, and champion transformation with stakeholders

Requirements

• 10+ years of experience as a data science lead, machine learning engineering lead, or similar roles in banking, investment, underwriting, actuarial, or consulting for financial services, insurance, or reinsurance
• 5+ years in a leadership role with team management responsibilities
• Strong communication skills with the ability to explain complex concepts to diverse audiences
• Hands-on experience in at least one domain: computer vision, natural language processing, recommender systems, or time series analytics
• Machine learning engineering and production delivery experience, including ML/LLMOps and cloud platforms
• Knowledge of technologies such as Databricks, Snowflake, or agentic orchestration tools (LangChain, Omnigent, Semantic Kernel)
• Working knowledge of at least one programming language, ideally Python
• Understanding of data science engineering excellence and the modern software development lifecycle for artificial intelligence products
• Consulting experience in a professional services environment

Nice to have

• Current AI leadership experience in a financial services or insurance organization
• Referenceable work such as papers, open-source contributions, or conference talks in the AI or machine learning space
• Current cloud certifications for Amazon Web Services, Google Cloud Platform, Microsoft Azure, or Databricks
• Experience with regulatory processes and standards such as KYC/AML, ISO/IEC, FSB, IFRS, or FINTRAC

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.