2026 New Grad Rotational Program | Data Science Associate
Location : Toronto
Format : Four days on‑site per week, one day from home
What You’ll Do
Canadian Tire’s Data Science Associate Rotational Program gives you an opportunity to develop broad analytical expertise, work cross‑functionally with internal and external teams, and become a key member of our data analytics 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, data science, and business intelligence.
The Associate will perform a variety of activities related to data science & analytics. These activities may include :
- Data Science / Advanced Analytics – Provide subject‑matter expertise and create a broad range of data‑driven solutions by applying a variety of techniques to build complex models.
- Business Insight Analyst – Provide analytics and insights to recommend actions that enable optimal business decisions and / or resolve complex business problems. Identify opportunities to drive business growth and value.
- Visualization – Provide data‑visualization expertise and interpretation of data into meaningful insights or visuals to help facilitate business understanding of outcomes and recommendations.
- Business Intelligence – Design and develop complex reports, dashboards, and scorecards to support business needs; ensure alignment of metrics across the organization.
- Data Management – Participate in projects by analyzing approaches, processes, and tools to support the business data strategy.
What You'll Bring
We are looking for students with an expected graduation of Dec 2025 or Spring 2026 who are :
Working toward an undergraduate degree in Computer Science, Mathematics, Engineering, Quantitative Analysis, Statistics, Data Analytics or a related field. Strong statistical / analytical skills are preferred.Well‑versed in one or more of these areas : Power BI Dashboard Development, Big Data / Predictive Analytics, Optimization, Machine Learning – Data / Text Mining, Programming, Algorithm Development, Automation, Data Visualization, Natural Language Processing.Excellent verbal and written communication with the ability to work and collaborate effectively in a team environment.Possess technical knowledge and on‑hand experience with SQL, Python, Spark, Azure Cloud Tools, Databricks, Power BI and AI‑Powered Tools (CoPilot, ChatGPT, Agents).Creative and courageous, with the ability to manage in an environment of change and ambiguity to help us take bold, strategic moves in this rapidly evolving retail environment.Action oriented and comfortable taking calculated risks to better serve our customers and business.Critical thinkers with the ability to analyze and visualize to ensure continuous improvement across our entire business.Collaborative team players with superior communication and influencing skills, who build relationships easily across various stakeholder groups.Curious, ready to take on new challenges and open to doing things differently to help us evolve rapidly – we are looking for you.Benefits
Comprehensive benefits and retirement programsPerformance incentives, continuing education programsOther perks to support your well‑beingCareer growth opportunities and product discountsOur typical hiring range is between $53,000 and $88,000. Salary decisions are also dependent on other factors such as your experience, job‑related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role‑specific requirements.
Our Commitment to Diversity, Inclusion and Belonging
We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We welcome and encourage candidates from equity‑seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Whether applying for this role or throughout the interview process, please let us know if you require any accommodation to help meet your needs.
Seniority Level
Internship
Employment Type
Full‑time
Job Function
Other
Industries
Retail
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