New Grad Data Science Associate – Finance Rotations

Canadian Tire Financial Services; Toronto; Hybrid; CAD 53,000 - 88,000; Full time

Benefits offered by this job

Comprehensive benefits and retirement

Continuing Education Programs

Career growth opportunities

Product discounts

Job summary

Canadian Tire Financial Services offers a New Graduate Data Science Associate program starting in 2027 in Toronto. The program features two 12-month rotations in Decision Support, with work spanning retail analytics, BI, and data engineering.

You will analyze data, build models, and help modernize data processes alongside Finance teams. Applicants pursue an undergraduate degree in a quantitative field and should have experience with SQL, BI tools, Python, and AI platforms.

Qualifications

• Enrolled in undergrad in a quantitative/technical field such as CS, Math, Eng, or related.
• Knowledge in BI development, data modelling, data engineering, analytics, AI development or automation.
• Strong communication and collaboration skills.
• Proficiency with SQL, BI tools and Python; exposure to AI platforms.

Responsibilities

• Participate in two 12-month rotations across Decision Support, Merchandising and Finance.
• Design and develop reports, dashboards, and scorecards.
• Analyze data and build data-driven solutions and models.
• Partner with Finance on transformation projects and modernizing data processes.
• Integrate AI into business processes with validated and overseen implementations.

Skills

SQL

BI tools

Python

AI platforms

Communication

Teamwork

Education

Undergraduate degree in quantitative/technical field

Tools

PowerBI

Tableau

Spark

Azure Cloud Tools

Databricks

Microsoft Power Platform

Copilot Studio

Job description

Canadian Tire Financial Services offers a New Graduate Data Science Associate program starting in 2027 in Toronto. The program features two 12-month rotations in Decision Support, with work spanning retail analytics, BI, and data engineering.

You will analyze data, build models, and help modernize data processes alongside Finance teams. Applicants pursue an undergraduate degree in a quantitative field and should have experience with SQL, BI tools, Python, and AI platforms.