AI practice lead - Financial services and Insurance

Job summary

Lead the AI strategy and delivery for the Financial Services and Insurance portfolio, overseeing the full lifecycle from ideation to production. Manage multidisciplinary teams and collaborate with clients to develop go-to-market offerings and high-quality proposals.

Job details

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 The recruiting efforts for this position are intended to fill an existing vacancy for a new position. 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 We offer Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid) Life and AD&D Insurance (Company Paid) Employee Assistance Program (Company Paid) Telehealth (Company Paid) Short-term Disability (Company Paid) Long-Term Disability Paid Time Off (including vacation and sick days) Registered Retirement Savings Plan (RRSP) with Company match Maternity/Parental/Adoption Leave Top-up Employee Stock Purchase Program Critical Illness Insurance Employee Discounts Unlimited access to LinkedIn learning solutions 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. EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Engineer the Future with a Career at EPAM

What you’ll do

Lead the AI strategy and delivery for the Financial Services and Insurance portfolio, overseeing the full lifecycle from ideation to production. Manage multidisciplinary teams and collaborate with clients to develop go-to-market offerings and high-quality proposals.

Requirements

Requires over 10 years of experience in data science or ML leadership within financial services, including 5+ years of team management. Must have hands-on experience with AI domains, cloud platforms, and modern software development lifecycles for AI products.

Benefits

• Extended Healthcare
• Prescription Drugs
• Dental Insurance
• Vision Insurance
• Healthcare Spending Account
• Life Insurance
• AD&D Insurance
• Employee Assistance Program
• Telehealth
• Short-term Disability
• Long-Term Disability
• Paid Time Off
• Registered Retirement Savings Plan (RRSP) with Company match
• Maternity/Parental/Adoption Leave Top-up
• Employee Stock Purchase Program
• Critical Illness Insurance
• Employee Discounts
• LinkedIn Learning Access

Listed skills

• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Artificial Intelligence
• Machine Learning
• Agentic AI
• Data Science
• MLOps
• LLMOps
• Python
• Cloud Platforms
• Databricks
• Snowflake
• LangChain
• Natural Language Processing
• Computer Vision
• Recommender Systems
• Time Series Analytics
• Consulting

Job areas

• Management & Leadership
• Technology
• Consulting
• Data & Analytics
• Finance & Accounting

More jobs from EPAM Systems