Intern, Data Science (Fall 2026) at Wealthsimple · Toronto

Build something people love

Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading.

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.

Internships @ Wealthsimple

At Wealthsimple, we offer 4 to 8-month internships that are open to co-op and non-co-op students, and recent grads. During your internship, you will have the opportunity to contribute to projects that are changing the landscape of financial services for Canadians. You will be on a team that supports your growth, provides mentorship, and connects you to the broader Wealthsimple community!

Our internship program follows a hybrid work model, where you’ll be working from our Toronto headquarters on Wednesdays and Thursdays. This structure offers the flexibility of remote work, while also providing the collaboration, connection, and mentorship that come from being together in person.

Eligibility

✔ Currently enrolled as a student at a Canadian post-secondary institution or technical bootcamp

✔ New graduates - Within 6 months of your graduation date

✔ Available to work full-time hours

✔ Residing in Canada

✔ Able to commute to our Toronto HQ on Wednesdays and Thursdays

✔ At least 2 paid work terms completed

✔ Legally authorized to work in Canada (Wealthsimple does not provide immigration or relocation support for interns)

Application Deadline: May 17th, 2026 11:59PM EST

Data @ Wealthsimple

Data Science at Wealthsimple turns complex, real-world financial data into decisions, products, and experiences that help millions build wealth. We partner closely with Product, Engineering, and business leaders to design experiments, build models, and surface insights that shape what we ship — from client-facing features to growth strategies and risk policies. We give teams the insights, tools, and decision frameworks they need to ship impactful work — ensuring we’re building data-informed products our clients trust and love.

About the Teams

Risk & Financial Decision Science

Helps Wealthsimple grow responsibly by combining experimentation, modeling, and domain expertise to shape credit, fraud, and financial risk policies. This team turns complex, real-world data into clear recommendations — from detecting suspicious activity to understanding how economic conditions affect our products. If you're passionate about keeping a fast-moving fintech both safe and scalable, this is your team.

Product Decision Science

Partners closely with Product, Engineering, and Design to decide what we build, how we launch it, and how we measure success. This team designs experiments, defines metrics, and builds data products that explain how clients actually use Wealthsimple — validating ideas, iterating quickly, and doubling down on what works. If you're passionate about using data to tell clear stories and ship better product experiences, this is your team.

Growth Decision Science

Focuses on how Wealthsimple grows — from acquisition and onboarding to engagement, retention, and cross-sell across our product suite. This team builds models and insights that power personalization, campaign strategy, and lifecycle optimization to grow net deposits sustainably. If you're passionate about finding leverage in funnels, experiments, and growth loops — and seeing your work show up in real business outcomes — this is your team.

Who We're Looking For

• Take ownership without being asked — they see something broken and fix it

• Ship fast and know what to cut

• Learn on the go and ask for help when they need it

• Use AI tools in their workflow and are curious about what else is possible

• Care about the person on the other end of what they're building

• Believe that debate, inclusivity, and transparency make for better products

Our Tech Stack

• Python-first environment with Pandas, scikit-learn, NumPy, and Jupyter

• SQL for data access and manipulation across large, production datasets

• Statistical foundations across both frequentist and Bayesian approaches

• Machine learning toolkit spanning regression, decision trees, and beyond

• Experimentation infrastructure for A/B testing and causal inference at scale

The Interview Process

Applications close on May 17th at 11:59 PM EST.

Step 1 — Application + Video Submission: Apply and submit a short video response with a written transcript. Applications open May 4–17.

Step 2 — (May 19th-May 29th) Technical Interview: A 1-hour interview in Python with a technical interviewer.

Step 3 — (June 1st-June 12th) - Project Review Interview: A 30-minute conversation with one of our engineering managers about how you work and what drives you.

Step 4 — Offers start to be extended the week of June 8th

Why Wealthsimple?

🤑 Competitive salary with group savings matching plan using Wealthsimple for Business

🌴 Generous vacation days, wellness days and unlimited sick & mental health days

🎉 Intern programming including educational workshops, hackathons, and mentorship

🌎 A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Inclusive Gender Network, Black @ WS)

What past interns have said about their experience at Wealthsimple:

"I absolutely loved the term here and had a great chance to learn new things and meet many amazingly talented people! I also really appreciated the mentorship program, having someone who was an alumni from my school+program was a great chance to learn more and help plan my career and academic journey!"

"A lot of autonomy and trust from teammates; In-person office experience allowed for a lot of deeper friendships; I genuinely like the Wealthsimple product which made it very exciting to work on it"

"The other interns were really a highlight as well as all of the things that y'all planned for us. I also would say my own team really made me feel at home and welcomed. I love the codebase and engineering tools a lot and will miss it!"

With over 1,000 employees coast to coast in North America, be a part of our Canadian success story and help shape the financial future of millions — join us!

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.