Senior Data Scientist

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 $155 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.

• Proven track record of converting model outputs into business outcomes; comfortable communicating technical findings to cross-functional partners (PMs, designers, engineers) to drive alignment.

• Experience designing, training, and shipping production AI models, with depth in transformer architectures and LLMs.

• Solid fundamentals (attention, tokenization, embeddings, regularization) and failure mode analysis.

• Familiarity with fine-tuning (LoRA, adapters), knowledge distillation, quantization, and instruction tuning.

Bonus:

• Background in recommender systems, representation learning, or self-supervised learning; production LLM application development; open-source contributions or publications in AI.

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

✈️ 90 days away: work outside Canada for up to 90 days per year

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.