Data Science Intern, Global Data & Analytics 

Posted:
1/23/2026, 10:12:52 AM

Location(s):
Toronto, Ontario, Canada ⋅ Ontario, Canada

Experience Level(s):
Internship

Field(s):
Data & Analytics

 JOIN OUR TEAM 

Maybe you've already stopped in for a coffee, to fill up your car or to grab a bite to eat. Then you know what Couche-Tard is all about. Our mission at Couche-Tard is to make our customers' lives a little easier every day. 

 

WHY BECOME AN INTERN WITH US? 

An internship at Couche-Tard means benefiting from a dynamic work environment that puts people first. At Couche-Tard, you'll be able to apply what you've learned to real-world tasks related to your field of study. Wherever you are in your career path, we have a place for you.  

 

 

Data Science Intern, Global Data & Analytics 

_________________________________________________________________

Department: Data and Analytics 

Location: On site, 305 Milner Ave Suite 400, Toronto, ON M1B 3V4 

Job Type/ Duration :  Full-time/ Summer 2026 (temporary contract of about 8 months, from May to December).

Reason for posting: Existing Vacancy

Compensation :  Starting at $24/hour

Application deadline : February 6th 2026 

_________________________________________________________________

THE ROLE  

As a member of the Enterprise Data & Analytics Team, the Data Science Intern is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership This is a unique opportunity to work on a new, growing team within a large organization. 

The Data Science Intern is responsible for delivering advanced analytics projects that drive business results The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation. 

We are looking for an individual who is a proven problem solver with exceptional critical thinking ability The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge Additionally, the candidate should possess the abilities to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.  

WHAT YOU’LL DO 

Excited to embark on a journey with us? Here's a breakdown of your job duties in this role: 

  • Understand and maintain Python/R, SQL and Databricks workflows established to collect, clean, and analyze data, ensuring data integrity and reproducibility in the workflow. 

  • Apply standard statistical, Machine Learning (ML) via Python, R or SQL programming to solve defined tasks. 

  • Implement supervised/unsupervised models using well-documented libraries (scikit-learn, XGBoost). 

  • Apply basic model evaluation metrics (accuracy, F1, RMSE). 

  • Use pretrained LLMs or image models via APIs (OpenAI, Hugging Face) for small tasks. 

  • Utilize basic prompting and parameter tweaking (temperature, top-k). 

  • Write clear, concise project updates for a technical audience, and communicate results to the team. 

WHAT YOU’LL NEED  

We want you to join our team! Here's what we're looking for: 

Knowledge and skills: 

  • Ability to program with SQL, R and Python Familiarity with well documented analytics libraries such as scikit-learn, XGBoost. 

  • Exposure with software development practices, object-oriented principles and test automation; 

  • Exposure to version control systems such as Git – experience preferred 

  • Exposure to cloud-based analytics environments (Azure, AWS or GCP); 

  • Experience applying operational research, statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.; 

  • Exposure to agile methodologies using project planning and tracking management tools e.g., JIRA; experience preferred 

  • Strong problem-solving skills including problem spotting and problem scoping; 

  • Strong interpersonal skills, including the ability to communicate the business benefits of analytics; 

 

 Education :  

  • Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) 

  • Master’s degree preferred 

 

 INTERESTED? You are only a few clicks away from joining an exceptional company! Visit our careers page at https://workwithus.circlek.com/ca/en to submit your application. We can't wait to hear from you! 

 

At Couche-Tard/Circle K, we're committed to fostering an inclusive and diverse workplace where everyone is treated with respect and dignity. We welcome individuals from all backgrounds and walks of life to join our team and contribute their unique perspectives and talents. 

 

We thank all candidates for their interest in this position. Please note that only selected candidates will be contacted for further steps in the hiring process. 

  #LI-LK1

Circle K values diversity in the workplace and encourages applications from the following designated groups: women, aboriginal peoples, persons with disabilities and members of visible minorities.  We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act.  Accommodations are available on request in all aspects of the selection process.