Intern, Data Scientist

The Home Depot

5d • CA$31,600 - CA$35,400 • Onsite

About The Position

Looking to turn classroom learning into real-world experience? The Home Depot Canada Internship/Co-op Program is your chance to apply what you’ve studied in a dynamic, hands-on environment. Over 16 weeks, you’ll work on projects that make a real impact, sharpen your skills, and build confidence for your future career. At HD Tech, we are not just coding—we’re crafting the future of retail. Our team is a vibrant mix of engineers, data scientists, and problem-solvers who build and maintain intelligent applications that support our customers and associates. Think of us as the tech backbone behind both in-store experiences and operational efficiency. And here’s the exciting part: we don’t just build software—we build data-driven solutions. From high-impact machine learning models to innovative, scalable tools with real ROI, our technology powers everything from store operations to predictive insights and associate productivity. If you’re passionate about machine learning, data, and building intelligent systems that drive real-world impact, this is the place to be.

Requirements

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Data Science, or a related field
• Proficiency in Python (experience with pandas, NumPy, scikit-learn, etc.)
• Basic to intermediate SQL skills for data querying
• Solid understanding of statistics (hypothesis testing, regression analysis, probability)
• Strong conceptual understanding of machine learning model principles and hands-on experience building models
• General understanding of AI agent principles
• Strong problem-solving and analytical thinking skills
• Excellent communication skills, with the ability to explain complex findings to non-technical audiences
• Currently enrolled in a Canadian accredited university or college throughout the period of the Internship/Co-op program.
• Legally entitled to work in Canada by way of Canadian citizenship, permanent residency, or a valid study/work permit.

Nice To Haves

• Exposure to one or more of the following is a plus: tree-based models, deep learning, time series forecasting, optimization/operations research
• Hands-on experience building or experimenting with AI agent workflows or frameworks
• Hands-on experience with optimization solvers/libraries (e.g., Gurobi, CPLEX, PuLP, OR-Tools)
• Prior experience with machine learning projects (coursework, research, Kaggle competitions, etc.)
• Familiarity with development tools such as VS Code (or similar IDEs), and GitHub
• Experience with data visualization tools (Tableau, Power BI, Matplotlib/Seaborn)
• Knowledge of cloud platforms (AWS, GCP, Azure)

Responsibilities

• Collect, clean, and preprocess large datasets from various sources
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights
• Contribute to one of the following: (a) building, training, and evaluating machine learning models, which may include tree-based models, deep learning, time series forecasting, or optimization/operations research techniques; or (b) developing basic AI agent workflows
• Collaborate with cross-functional teams (between business and technology) to translate data insights into actionable recommendations
• Develop data visualizations and dashboards to communicate findings to technical and non-technical stakeholders
• Document methodologies and present findings to the team

Benefits

• Comprehensive Onboarding
• Strategic Projects
• Project Presentation
• Professional Development Sessions
• Networking Opportunities
• Coaching and mentoring, along with performance feedback, leadership, and development opportunities.
• Potential for a full-time offer upon graduation.

What This Job Offers

• Career Level: Intern