Intern, Data Scientist - Fall 2026

About the role

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 an Intern, Data Scientist, you will work with cross-functional teams to leverage model solutions to solve complex business problems. As a data savvy individual, you will use your skills to identify the best algorithm or model to solve the problem at hand. You will have autonomy to take ownership and lead an end to end project, from problem identification to solution deployment. Types of projects the Data Science team is involved in: Using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns. Exploring new proprietary data sources and creating predictive models or customer behavior. Applying machine learning techniques to build financial risk models. Create and test algorithms to optimize search engine marketing. Design and develop data pipelines and visualizations to monitor model performance and data quality. Be ready to join a community with some of the most talented people you've ever met, who see the customer first, and want to use their skills to make a difference. And, as a founder-led company, we're inspired to make, break, and do good. So, let's create something great together.

Responsibilities

• Using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns.
• Exploring new proprietary data sources and creating predictive models or customer behavior.
• Applying machine learning techniques to build financial risk models.
• Create and test algorithms to optimize search engine marketing.
• Design and develop data pipelines and visualizations to monitor model performance and data quality.

Requirements

• Will obtain a Bachelor's degree or higher between January 2027 and September 2028.
• Pursuing a degree in Mathematics, Statistics, Computer Science, Engineering or another quantitative discipline.
• Experience analyzing and manipulating large data sets using tools such as SQL or Python.
• Experience with statistical analysis and data mining using tools such as Python, R, SAS, Matlab, Stata, or SPSS.
• Experience building and maintaining data pipelines.
• Experience in a Linux/Unix environment, with Git, AWS, or APIs.
• Excellent verbal and written communication skills.
• Previous intern experience.
• Application:
• Must include your resume and unofficial transcript in the attachment section when you create your profile to apply.
• If you are a Waterloo student, please apply directly on WaterlooWorks.
• Working at Capital One.
• Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station.
• This posting is for an existing vacancy.
• We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.
• Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.
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Benefits

Additional Information

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Intern, Data Scientist - Fall 2026 About Capital One Canada. For 30 years, we've been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people - in our customers, in our associates, and in talent like you!

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