161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Scientist - Current Grad, 2027 Start For 30 years, we’ve been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated. You’ll redefine what’s possible by contributing to work that impacts millions of Canadians, taking ownership of your decisions and outcomes, supported by mentors who will push you to think bigger and challenge the status quo.

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 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.

Using

Python and PySpark to analyze millions of transactions to understand and predict fraud patterns Exploring new proprietary data sources Applying machine learning techniques to build models that predict customer behaviour Design and develop data pipelines and visualizations to monitor model performance and data quality Will have obtained a Bachelor’s degree or higher in 2027. Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong coding background Experience using Python Ability to clearly explain technical concepts to a non-technical audience Experience in a Linux environment Experience using Git or other version control systems Experience with AWS or other cloud service providers Previous intern experience Here you’ll uncover personal strengths, explore new interests and make an impact that matters. We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance.

We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments.

A supportive community from day one: Through our robust onboarding program, orientation sessions, buddy program for new hires and early career development programs, you’ll get foundational training while building connections with your peers and leaders – cultivating a supportive community you can lean on for support and guidance. You’ll find that Capital One is committed to helping you thrive and evolve every step of the way. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es).

Weembrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

📌 Associate, Data Scientist - New Grad, 2027 Start (Toronto)
🏢 Capital One - Canada
📍 Toronto