Referred applicants should not apply directly to this role.

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

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong. 

Term Length: 4 months

Term Start: January 8, 2025

Term End: April 18, 2025

*Return to Office*:
As of March 2022 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 days in the office.

Position Overview:

As a part of the Merchandising analytics team, the Loblaw co-op team will be leveraging data science concepts to identify opportunities, develop solutions and integrate them into our core business processes.  Our co-op program will include all aspects of merchandising including price elasticity and optimization, assortment optimization, customer segmentations, loyalty offer targeting, and portfolio management.  

A successful co-op colleague will be:

·         Passionate about data, algorithms, programming and statistics

·         A motivated self-starter and a relentless problem solver

·         Curious mindset to understand the business opportunities to apply data science concepts

·         Eager to apply machine learning to solve real world problems

·         Able to research technical concepts and solutions

·         Excited to learn and teach new concepts and techniques

·         Comfortable working on their own and within a team

·         Excited about the opportunity to present to company executives

·         Focused on improving processes for our stores and customers

·         Able to manage multiple initiatives with firm deadlines

·         Comfortable working in a professional environment interacting with all levels within the organization

Qualifications:

·         Enrolled in undergraduate degree similar to Computer Science, Engineering, Data Science and Statistics

·         Programming experience in SQL and Python, R, or any other programming language

·         Ability to convert data to insight, insight to recommendations and recommendations into an action plan

·         Knowledge of AI and data science concepts (Machine learning, prescriptive analytics, neural networks, etc.)

·         Familiarity with Git, Unix command line and bash scripting is an asset

·         Experience with distributed computing (eg. Hadoop, Spark) is an asset

·         Participation in Data Science Hackathons and/or a Github link to your data science related projects is an asset

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.  
 
Please Note:
Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.