Hybrid Data Scientist Associate – New Grad 2027 (Toronto)

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

Job summary

Capital One Canada is seeking an Associate Data Scientist for 2027 start in Toronto. You’ll work with cross-functional teams to apply machine learning to fraud detection and customer behavior, building end-to-end data solutions with Python and PySpark.

A hybrid work model and mentorship support your growth from day one. You’ll have a bachelor’s or higher in a quantitative field, with strong coding skills in Python and experience presenting technical topics clearly.

Qualifications

• Bachelor’s degree or higher in a quantitative field with strong coding.
• Proficiency in Python for data analysis and modeling.
• Ability to explain technical concepts to non-technical audiences.

Responsibilities

• Use Python and PySpark to analyze millions of transactions to understand and predict fraud patterns.
• Explore new proprietary data sources and create predictive models of customer behavior.
• Design and develop data pipelines and visualizations to monitor model performance and data quality.

Skills

Python

Coding

Explain concepts

Education

Bachelor's degree or higher

Mathematics

Computer Science

Engineering

Quantitative discipline

Tools

Git

Linux

AWS

Job description

Capital One Canada is seeking an Associate Data Scientist for 2027 start in Toronto. You’ll work with cross-functional teams to apply machine learning to fraud detection and customer behavior, building end-to-end data solutions with Python and PySpark.

A hybrid work model and mentorship support your growth from day one. You’ll have a bachelor’s or higher in a quantitative field, with strong coding skills in Python and experience presenting technical topics clearly.