Associate, Data Scientist

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,
Associate, Data Scientist
Step Inside Capital One Canada - Data Scientist 2026
Event Date : Thursday, August 28, 2025 from 1:00pm - 2:00pm
Application Requirements:

• This opportunity is intended for students who will be applying to Full Time Associate and Winter Intern roles in 2026.
• Submit your application by August 21, 2025 to be considered for this exclusive experience.
• Please ensure you submit both your resume and your transcript.

Selected participants will receive an exclusive invitation to attend after the application deadline.
About the Experience
Join us for an exclusive Office Tour and a chance to network with amazing professionals from across our business. You'll get a behind-the-scenes look at our innovative workspace , meet inspiring Capital One associates , and discover what makes our culture so unique.
A day in the life of a Capital One Data Scientist
As a Data Scientist Associate, 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.

Basic Qualifications

• Graduate in 2026 or later with a Master's or Bachelor's Degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong programming background.

Preferred Qualifications

• 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.

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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. 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. (COPSSC).