Intern, Data Scientist - Winter

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Intern, Data Scientist - Winter 2027

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?

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.

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.

• Transform data into data structures in our data lake and Snowflake data warehouse that are leveraged for business decision making.
• Create, enhance and maintain critical data processes.
• Act as a steward for our data: ensuring it is high quality, trustworthy, well documented, and easy to use.
• Build, automate, and maintain critical business reporting and visualizations that helps deliver insights.
• Perform investigative analysis on large/diverse dataset.

• Will obtain a Bachelor’s degree or higher between September 2027 and September 2028.

• Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong programming background.
• Familiarity with SQL and/or data transformation tools such as dbt.
• Python experience would also be an asset.
• Experience building and maintaining data pipelines.
• Ability to shape and develop requirements into practical solutions.
• Ability to clearly explain technical terms to a non-technical audience.
• Experience in a Unix/Linux environment, with Git, AWS, or APIs.
• Excellent verbal and written communication skills.
• Previous intern experience.

Here you’ll uncover personal strengths, explore new interests and make an impact that matters.

The work you’ll find here will keep you inspired and guide you in your career journey.

Take ownership of your own potential:
As you begin your career, you’ll define your own path by gaining exposure across the business, learning new skills, and having access to tools and mentorship to understand your potential.

Find your rhythm:
We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments.

A supportive community from day one:
Through our robust onboarding program, orientation sessions, buddy…