Software Development and Data Science Internships (Winter 2027)
Wealthsimple Toronto, OntarioUSD 74,000–78,000 / yearInternship
Key requirements
- Python
- Java
- Typescript
- React
- Sql
- Snowflake
- Aws
- Kubernetes
- Machine Learning
- Data Science
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 .
Internships @ Wealthsimple
Location: Toronto, ON (Hybrid)
We offer 4-8 month internships designed for co-op students, non-co-op students, and recent graduates who are ready to ship impactful work. You'll join a high-performing team where you'll contribute to projects that are fundamentally changing how Canadians manage their money. We're committed to your growth, providing the mentorship and community you need to deepen your craft and leave better than you arrived.
Our internship program operates on a hybrid model out of our Toronto headquarters. You'll be in-office on Wednesdays and Thursdays to collaborate, connect, and learn in person, while maintaining the flexibility of remote work for the rest of the week.
This posting covers two roles: Software Development and Data Science Intern . Please apply to the one that best fits your interests.
Please note: the role you apply for is the role you will be assessed on throughout the interview process. We are unable to accommodate requests to switch between Software Development and Data Science tracks after submission.
Software Development Intern
Our engineering organization spans everything from product-focused pods to financial infrastructure, building the software that powers our entire suite of services. We operate with a platform-as-a-product mindset, leveraging microservices and an agile, high-iteration approach. With rigorous automated testing and a deployment frequency of 100+ times a day, we move fast while staying secure.
Our Teams:
Product Engineering : Drives the development of our core offerings across Investing, Banking, Lending & Marketing. This team builds intuitive and impactful features that empower millions to achieve their financial goals. If you're passionate about crafting user-centric solutions and seeing your work make a real difference, this is your team.
Main stack: React, Typescript, Ruby on Rails, Python
Platform Engineering : Empowers developers by providing the platforms, tools, and infrastructure needed to build and maintain fast, reliable, secure, and scalable systems. Teams include Reliability, Infrastructure, Data Foundations, Dev Tooling, Edge and AI Platform, built with a platform-as-a-product mindset.
Main stack: Typescript, Ruby on Rails, Python, Kubernetes, Snowflake
Book of Records (BOR) : Builds the core financial building blocks powering our products, including a real-time ledger, and enables product teams to innovate with confidence.
Main stack: Java, Kotlin
Additional info on our technologies:
Python used across automation, data, and internal tooling
Hosted on AWS (RDS, Aurora, SQS, SNS, S3, Kafka)
Deploying code 100+ times a day with rigorous automated testing
Best-in-class tooling for profiling, logging, tracing, and experimentation
Data Science Intern
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.
Our Teams:
Agentic Analytics & Context Engineering
Banking & AI Products DSE
Growth & Investing Data Science
Enablement Data Science
Credit Analytics
Fraud & AML Countermeasures
Together, these teams cover
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