Sr Data Scientist, AI Products

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $125 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work. The AI Products Data Science team is a full-stack, product-driven unit at the heart of Wealthsimple’s innovation. We own the end-to-end AI lifecycle: from model architecture and data pipelines to designing experiments that drive real-world impact for over 4 million Canadians. We are looking for a Senior Data Scientist who thrives at the intersection of AI research and product development. You are someone who can design and scale complex models while maintaining a product manager’s mindset, constantly asking how our technology creates value for our clients. In this collaborative role, you will transform technical breakthroughs into seamless product experiences, ensuring that every model we ship moves the needle for our business. In this role, you'll have the opportunity to: Lead the full AI product lifecycle: from identifying user pain points and defining KPIs to training foundation models and measuring real-world impact. Design and execute rigorous experiments (A/B tests, causal inference) to validate new AI features and drive product optimizations. Partner with Product Managers, Designers, and Engineers to translate business goals into a technical AI roadmap, ensuring our model development stays aligned with user needs and technical feasibility. Build and maintain production-grade training pipelines and evaluation harnesses using reproducible, well-tested code. Analyze production feedback and user interactions to iteratively refine models and maximize value. Foster a collaborative culture: mentor teammates, simplify complex problems, and drive iterative, high-impact delivery. What you bring: Deep product sense: define success metrics, translate vague business objectives into measurable hypotheses, and measure product impact through A/B testing and causal inference. Experience with product analytics to derive actionable insights that inform product roadmaps.