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Canadian Tire Corporation invites applications for a New Graduate Program: Data Science Associate in Toronto, starting 2027. The program offers two progressive 12‑month rotations within Finance Decision Support, spanning retail analytics, BI, and data engineering.
Candidates should be pursuing an undergraduate degree in a quantitative field and have experience with SQL, BI tools, Python and AI platforms. The program is hybrid, onsite four days per week with one day from home, and aims to develop
Office Location: Toronto
Onsite Requirement: Four days on-site per week, one day from home
At Canadian Tire, we are committed to providing students with a supportive and collaborative environment that fosters knowledge sharing and offers key experiences to help them develop their capabilities through projects and objectives. We believe in setting specific and measurable goals that align with our business objectives to support learning and help students achieve their full potential. Our culture emphasizes learning from others, continuous improvement, agility, growth, and innovation, and we are invested in building a talented, diverse workforce for the future of Canada and Canadian Tire. Additionally, we are dedicated to building strong relationships with our student employees by engaging with them throughout their education and career pursuits and creating opportunities for ongoing communication and relationship building.
Canadian Tire's Data Science Associate Rotational Program will provide you with an opportunity to develop broad analytical expertise, work cross-functionally with internal and external teams and be a key member of our data analytics team within Finance Decision Support. This development program is designed to be a strong foundation for a successful analytics career within Finance and other analytics teams across CTC, helping us to continue to build an innovative, world-class Canadian Tire Retail team. The program consists of two progressive 12-month rotations in Decision Support teams that work with Merchandising and Finance in domains such as retail analytics, business intelligence and data engineering.
The associate will perform a variety of activities over the two rotations, which may include:
We are looking for students with an expected graduation of December 2026 or Spring 2027 who are:
If you’re curious, ready to take on new challenges and open to doing things differently to help us evolve rapidly - we are looking for you.