Intern, Data Scientist - Winter 2027

Capital One
Toronto, Ontario, CanadaPosted Sep 8, 2026
Data Science / MLWinter 2027

About the role

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Intern, Data Scientist - Winter 2027 MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY. About Capital One Canada For 30 years, we’ve been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated. You’ll be empowered to grow your career in a supportive environment where you can own and shape your journey on your own terms. You’ll redefine what’s possible by contributing to work that impacts millions of Canadians, taking ownership of your decisions and outcomes, supported by mentors who will push you to think bigger and challenge the status quo. Are you ready to redefine what’s next? About the Team Capital One is more than you think. We're a data-driven tech company that just happens to do credit cards. We focus on customer-first solutions, and we're united with this common goal. We have all the advantages of a startup, with the resources of a big company. Working here means you're curious, innovative spirit will be encouraged as you push boundaries and try new things, while your career is nurtured and supported. Our environment is creative and filled with teams that are passionate about the dynamic work they're doing. We're ahead of other banks in tech and we want to keep it that way.

About the Role

As a Data Analytics Engineering Intern, you will work with cross-functional teams to develop tools and data structures. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment.

Your Responsibilities

Transform data into data structures in our data lake and Snowflake data war

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