Data Scientist Co-op

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.

Why is this role important?

Summer 2025 Work Term

Term Length: 4 months

Term Start: May 5, 2025

Term End: August 22, 2025
 

As of October 15, 2024 Loblaw has adopted the following Hybrid working model (a combination of working between the office and remotely). Colleagues will continue working remotely up to 1 day a week, while spending the other 4 days in the office (to be determined by each business unit).

At Loblaw Digital, we’re redefining how Canadians shop by creating innovative eCommerce experiences that blend data-driven insights with advanced technology. As the digital arm of Canada’s largest and most successful retailer, our entrepreneurial and fast-paced team is responsible for building and operating online businesses across grocery, beauty, pharmacy, loyalty, and apparel. Our mission is to deliver cutting-edge solutions that enhance personalization, scalability, and customer engagement. Whether it’s designing an app that impacts lives across the country or crafting the most innovative shopping experiences, we embrace the challenge with passion and purpose. Based in downtown Toronto, we’re committed to transforming the way Canadians shop!

We’re looking for a Data Science Co-op to work on exciting projects such as the Multimodal Recommendation Engine, applying state-of-the-art machine learning techniques, to deliver personalized customer experiences.

What you'll do

• Collaborate with data science/ machine learning engineers, and product teams to address business problems and develop data-driven solutions.

• Develop and optimize a Multimodal Recommendation Engine using advanced deep learning techniques for processing user behavior, item features, offer data, and contextual signals.

• Implement and optimize machine learning models for large-scale recommendation systems to enhance the relevance and accuracy of recommendations.

• Perform exploratory data analysis (EDA) to uncover insights and identify opportunities for model optimization and business impact.

• Work with large-scale datasets using tools like PySpark, SQL, and cloud-based platforms (e.g., GCP) to process and analyze data efficiently.

• Assist in deploying machine learning models and integrating them into production systems to ensure scalability and performance.

• Communicate findings and recommendations through visualizations and presentations to both technical and non-technical stakeholders.

What You’ll Bring

• Currently enrolled in a Master's, or Ph.D. program in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Strong experience with deep learning frameworks (PyTorch or TensorFlow) and implementing neural network architectures.

• Experience with programming languages such as Python for data analysis and modeling.

• Familiarity with SQL and working with databases.

• Excellent problem-solving skills and an ability to think critically about data and its applications.

• Strong communication skills and a willingness to collaborate in a team environment.

• Bonus: Experience with cloud platforms (GCP, AWS, or Azure), big data tools or data visualization tools (e.g., Looker).

How You’ll Succeed

You will collaborate with a highly skilled team on impactful projects that touch the lives of millions of Canadians, thriving in an inclusive and supportive culture that celebrates diversity of thought and experience. With access to mentorship, learning resources, and growth opportunities, you’ll deepen your expertise in data science while gaining hands-on experience with cutting-edge technologies and real-world eCommerce challenges. At Loblaw Digital, you’ll work alongside some of the brightest minds in the industry, leveraging world-class tools to create products our customers will love. By embracing our values of authenticity, trust, and connection, you’ll help drive innovation and shape the future of eCommerce.

Apply Today

If you’re excited about solving complex problems, love working with data, and want to make a meaningful impact, we’d love to hear from you!

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

How You’ll Succeed: 

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. 

We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type:

Type of Role:

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.