Sr Data Scientist, AI Products

• Lead AI product lifecycle from pain point identification to measuring impact
• Design and conduct rigorous experiments to validate AI features and optimize products
• Collaborate with PMs, designers, and engineers to align technical roadmap with business goals
• Build and maintain effective training pipelines and evaluation tools in a production environment
• Analyze user feedback to iteratively improve models for maximum impact
• Mentor team members and simplify complex problems to promote high-impact delivery

• Deep product sense with ability to define and measure success metrics
• Experience with product analytics for actionable insights
• Track record of translating model outputs into business results; strong communicator with cross-functional teams
• Proficient in designing, training, and deploying production AI models, especially with transformers and LLMs
• Strong understanding of AI fundamentals, including attention mechanisms and regularization techniques
• Familiarity with advanced AI techniques, such as fine-tuning and knowledge distillation

• Top-tier health benefits and life insurance
• Long-term group savings plan with employer match
• Generous vacation policy with 20 vacation days, 4 wellness days, and unlimited sick and mental health days
• Ability to work remotely outside Canada for up to 90 days a year
• Supportive employee resource groups promoting diversity and inclusion

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.

For our client, we are seeking a Sr Data Scientist AI Products to join the team of a leader in the Finance & Insurance space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a regulated financial services environment.