Data Scientist, Intern (Spring/Summer 2025)

161 Bay Street (93021), Canada, Toronto, Ontario

Data Scientist, Intern (Spring/Summer 2025)

Data Scientist Intern

Our Capital One Data Science Team.

Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler.

We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products, and great engineering.

Working with us

How do we do things at Capital One Canada? We listen — to our people, and to our customers. We change with the times and have adopted a flexible hybrid model (remote and/or in-office). A flexible hybrid working model is one that creates the opportunity to match the work that we do to the environment that best supports that work. Associates working in the hybrid model are expected to come into the office 3 days a week across Tuesdays and Thursdays, reserving Mondays and Fridays as company-wide virtual days. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. We recognize that everyone has a unique working pattern so we’re open to discussing flexible working arrangements that will best accommodate you.

At Capital One we’re committed to diversity, inclusion and belonging. We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates.

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.

A day in the life of a Capital One Data Science Intern

As a Data Scientist Intern, 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.

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

Basic Qualifications:

• Will obtain a Bachelor’s degree or higher between December 2025 and June 2027

Preferred Qualifications:
(Don’t have them all? Don’t worry. We’ll help you develop the right skills for the job):

• 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

About Capital One Canada

We've been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We're on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company.

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