Associate, Data Scientist - New Grad, 2027 Start

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Associate, Data Scientist - New Grad, 2027 Start MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY. About Capital One Canada 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 be empowered to grow your career in a supportive environment where you can own and shape your journey on your own terms. 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.  Are you ready to redefine what’s next?

Capital One is more than you think. 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. And, as a founder-led company, we’re inspired to make, break, and do good. So, let’s create something great together.

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 Basic Qualifications: 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 Preferred Qualifications: Experience in a Linux environment  Experience using Git or other version control systems Experience with AWS or other cloud service providers Excellent verbal and written communication skills Previous intern experience Working at Capital One Here you’ll uncover personal strengths, explore new interests and make an impact that matters. The work you’ll find here will keep you inspired and guide you in your career journey.  Take ownership of your own potential: As you begin your career, you’ll define your own path by gaining exposure across the business, learning new skills, and having access to tools and mentorship to understand your