STAGE DATA SCIENTIST/MACHINE LEARNING

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!
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. 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.
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.
Previous intern experience.
If you are a Waterloo student, please apply directly on WaterlooWorks.
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.
Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents. With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year—and much more—you’ll discover that Capital One is committed to helping you live your best life.
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.
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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (