Intern, Data Scientist

With a career at The Home Depot, you can be yourself and also be part of something bigger.

2026 Summer Student Internship/Co-op Opportunity – Intern, Data Scientist

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:

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

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

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

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

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

Duration: May 4 – August 21st, 2026

# of positions available: 2

• Locations: 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, dreamers, and problem-solvers who build and maintain HomeDepot.ca and applications for our customers and associates. Think of us as the tech backbone behind your DIY inspiration and weekend renovation plans.

We don't just move data; we make it meaningful by designing scalable data pipelines, optimizing queries, and unlocking cloud-native solutions.

If you're passionate about machine learning, data visualization, and statistical modeling and want to see your work influence real-world outcomes; this internship is for you.

Job Summary:

As a Data Scientist Intern you will:

• Apply advanced analytics methods and algorithms to identify trends and propose business solutions.
• Support data science initiatives that increase profitability, efficiency, and customer experience.
• Collaborate with business partners and cross-functional teams.
• Participate in designing and developing algorithms and models.
• Present insights and recommendations to both technical and non-technical audiences.
• Help build and maintain a library of reusable, documented algorithms

Required Qualifications:

• Currently pursuing a university and/or college education in Canada and enrolled in a co-op program focused on Computer Science, Mathematics, Statistics, or a related field.
• Experience with Python and SQL is a must
• Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data manipulation libraries (e.g., Pandas, NumPy).
• Basic understanding of statistics, probability, and linear algebra applied to data science.
• Exposure to latest GenAI technologies like RAG, Agents, Prompt Engineering is a plus
• Familiarity with GenAI frameworks like llamaindex/langchain is a plus
• Exposure to cloud platforms (preferably GCP) is a plus
• Strong problem-solving, analytical, and communication skills.
• Knowledge of Agile methodologies and tools like Jira
• Excellent communication, collaboration, and problem-solving skills
• Passion for learning and innovation

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:

• Accountability for key business strategies in partnership with your manager.
• Hands-on experience solving real-world problems in a production environment.
• Experience working in cross-functional teams.
• Coaching and mentoring, along with performance feedback, leadership, and development opportunities.
• Potential for a full-time offer upon graduation.

What to Expect in the Recruitment Process

• Application window: February 2, 2026 – February 15, 2026
• Interview window: March 2, 2026 – March 20, 2026
  • If selected, you will be contacted via email to arrange your interview
  • You may complete a short exercise or case study to demonstrate your analytical, problem-solving, or technical skills relevant to the role
• Offers: March 9, 2026 – March 31, 2026

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