Intern - Data Scientist

Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

About the co-op/internship program:

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.

Program highlights include:

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Comprehensive Onboarding: Gain insights into our business operations, organizational culture, and core values.

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Strategic Projects: Address genuine business challenges, explore innovative approaches, and contribute meaningful solutions.

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Project Presentation: Share your findings and project outcomes with senior leadership.

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Professional Development Sessions: Participate in sessions designed to enhance skillsets, reinforce company values, and provide perspectives from leaders across the organization.

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Networking Opportunities: Establish connections with peer mentors and leaders who will support your professional growth throughout the program.

Duration: September 8 – December 18th, 2026

# of positions available: 2

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Location: Toronto Store Support Center – 1 Concorde Gate, North York (In office Monday – Friday)

Join Our Team:

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.

Job Summary:

As a Data Scientist Intern you will:

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Collect, clean, and preprocess large datasets from various sources

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Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights

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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

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Collaborate with cross-functional teams (between business and technology) to translate data insights into actionable recommendations

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Develop data visualizations and dashboards to communicate findings to technical and non-technical stakeholders

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Document methodologies and present findings to the team

Required Qualifications

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Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Data Science, or a related field

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Proficiency in Python (experience with pandas, NumPy, scikit-learn, etc.)

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Basic to intermediate SQL skills for data querying

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Solid understanding of statistics (hypothesis testing, regression analysis, probability)

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Strong conceptual understanding of machine learning model principles and hands-on experience building models

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General understanding of AI agent principles

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Strong problem-solving and analytical thinking skills

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Excellent communication skills, with the ability to explain complex findings to non-technical audiences

Nice to Have:

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Exposure to one or more of the following is a plus: tree-based models, deep learning, time series forecasting, optimization/operations research

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Hands-on experience building or experimenting with AI agent workflows or frameworks

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Hands-on experience with optimization solvers/libraries (e.g., Gurobi, CPLEX, PuLP, OR-Tools)

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Prior experience with machine learning projects (coursework, research, Kaggle competitions, etc.)

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Familiarity with development tools such as VS Code (or similar IDEs), and GitHub

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Experience with data visualization tools (Tableau, Power BI, Matplotlib/Seaborn)

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Knowledge of cloud platforms (AWS, GCP, Azure)

The successful student will be currently enrolled in a Canadian accredited university or college throughout the period of the Internship/Co-op program. In addition, you must be legally entitled to work in Canada by way of Canadian citizenship, permanent residency, or a valid study/work permit.

What you can expect to learn and gain from this experience:

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Accountability for key business strategies in partnership with your manager.

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Hands-on experience solving real-world problems in a production environment.

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Experience working in cross-functional teams.

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Coaching and mentoring, along with performance feedback, leadership, and development opportunities.

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Potential for a full-time offer upon graduation.

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Please note: Your current year of study and number of past internship terms will determine your salary band. Actual compensation within each band is based on skills, experience, and academic performance

The pay range for this position is between $31,600.00 - $35,400.00