Analyst, Data Science

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. Summer 2026 Work Term Term Length: 4 months Term Start: May 4, 2026 Term End: August 21, 2026 Hybrid Working Model: Colleagues can work remotely up to 1 day a week, while spending the other 4 days in the office (to be determined by each business unit). Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are seeking bright, inquisitive individuals to help bring our Data Science game to the next level. This is an exciting time to join our team – we are changing the game in a big way As a Data Science Co‑Op, you will play a crucial role in extracting and analyzing complex information, supporting business partners, and contributing to enterprise‑wide analytical initiatives. Your work will directly impact our ability to make data‑driven decisions, solve business problems, and uncover new opportunities. What You’ll Do: Perform the ad‑hoc extraction and analysis of complex information from various databases. Support initiatives to enhance business partner self‑sufficiency. Maintain data security and confidentiality for all data sources. Translate business requests into actionable plans, addressing strategic and tactical needs. Utilize SQL to extract, review, and prepare sales and customer behavior data for analysis. Design and build interactive and static data visualizations to provide insights for strategic decisions, using Power BI or Looker. Conduct statistical analysis and hypothesis testing to enhance forecasting, targeting, and performance measurement, using Python and Google Cloud Platform. What You’ll Bring: Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business, or a relevant field. Programming and technical skills in SQL, Python (pandas, numpy, sklearn, xgboost), version control (git). Strong analytical and conceptual thinking skills with the ability to derive meaningful interpretations from data. Ability to take initiative, multitask, and thrive in a fast‑paced environment. Excellent attention to detail and a team player mentality. In-depth knowledge of predictive modeling and machine learning, deep learning, and familiarity with Generative AI & LLMs. Experience with SQL data extraction and manipulation tools (Python). Ability to apply state‑of‑the‑art Machine Learning algorithms and solutions to derive actionable insights and solve complex business problems. Familiarity with cloud environments such as GCP, Azure, and AWS is a plus. Interest in retail analytics is preferred. Benefits: Exposure to real‑world data science challenges within Canada’s largest retailer. Mentorship from experienced Data Scientists and Leaders. Opportunities for professional development and training. Networking opportunities within a dynamic and innovative company. How to Apply: Interested candidates should submit their resume and a brief cover letter outlining their interest in data science and any relevant coursework or projects. 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. Hiring Range / Échelle salariale à l’embauche :$35,100.00 - $65,000.00 / 35.100,00$ - 65.000,00$ (per year / par an) A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. #J-18808-Ljbffr