Data Scientist Associate - New Grad 2027 (Hybrid Toronto)

Capital One; Toronto; Hybrid; CAD 94,000 - 127,000; Full time

Job summary

Capital One Canada is seeking an Associate Data Scientist who will work with cross-functional teams to build model solutions that address complex business problems. You’ll own end-to-end projects from problem identification to deployment and impact.

You’ll use Python and Spark to analyze large datasets, build predictive models, and monitor model performance. The role is ideal for a new graduate starting in 2027 and offers a hybrid work model in Toronto.

Qualifications

• Bachelor’s degree or higher expected in 2027.
• Pursuing a Bachelor's 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.
• Linux, Git, and AWS experience preferred.
• Previous intern experience and interest in Capital One.

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

Skills

Explain concepts clearly

Verbal & written communication

Internship experience

Capital One familiarity

Education

Bachelor’s degree or higher (2027)

Pursuing Bachelor’s in math/CS/engineering or quantitative field

Tools

Python

PySpark

Linux

Git

AWS

Job description

Capital One Canada is seeking an Associate Data Scientist who will work with cross-functional teams to build model solutions that address complex business problems. You’ll own end-to-end projects from problem identification to deployment and impact.

You’ll use Python and Spark to analyze large datasets, build predictive models, and monitor model performance. The role is ideal for a new graduate starting in 2027 and offers a hybrid work model in Toronto.