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Toronto, Ontario, Canada

Internship

Hybrid

Intern

Capital One Canada is a data-driven tech company focused on making credit accessible and rewarding. As an Intern, Data Scientist, you will work with cross-functional teams to leverage model solutions for complex business problems, utilizing your skills to identify algorithms and lead projects from inception to deployment.

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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

Qualification

Required

Will obtain a Bachelor's degree or higher between September 2026 and September 2027
MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY

Preferred

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