Applied Machine Learning - Co-op Student

Loblaw; Brampton; Híbrido; CAD 35.000 - 66.000; A tiempo parcial

Descripción de la vacante

Loblaw is offering a Winter 2027 co-op with the Applied Machine Learning team in a hybrid model. You will help solve operational challenges by building Python applications, SQL solutions, dashboards, and internal tools that streamline supply chain tasks across Canada.

You’ll work on projects from concept to production, collaborating with business partners to deliver practical software solutions using Python, SQL, GCP, and BI tooling, while gaining mentorship and exposure to the full software

Formación

• Requires post-secondary degree in CS/DS/engineering or related field.
• Experience writing Python applications and SQL queries; cloud exposure (GCP/AWS/Azure) is a plus.
• Strong problem-solving, curiosity, and ability to learn new tech independently.
• Able to work independently, communicate progress, and ask thoughtful questions.

Responsabilidades

• Develop Python applications that automate supply chain processes.
• Write efficient SQL queries against enterprise-scale datasets in BigQuery and Oracle.
• Design, build, test, and deploy internal tools used by Supply Chain teams across Canada.
• Partner directly with business users to understand operational challenges and translate them into technical solutions.
• Investigate production issues, troubleshoot problems, and improve automation.
• Create clear technical documentation to ensure maintainability.

Conocimientos

Analytical thinking

Independent learning

Attention to detail

Effective communication

Educación

Post-secondary education in CS/DS/Engineering or related field

Herramientas

Python

SQL

Google BigQuery

Oracle

Google Cloud Platform

Jupyter Notebooks

Power BI

Git

Jira

Confluence

Windows & Linux environments

Descripción del empleo

Winter 2027 Work Term

Term Length: 4 months

Term Start: January 6, 2027

Term End: April 16, 2027

The pay range for the co-op student role will reflect factors such as the candidate's experience, academic level, and the specific skillset required for the role.

Loblaw has adopted the following hybrid working model (a combination of working between the office and remotely). 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).

About Loblaws

At Loblaw, we help millions of Canadians get through their best days, worst days, celebration days, and every day. Through our innovation and quality products, we’re here for our friends, neighbours, family members and colleagues.

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®.

Position Overview

Join our Applied Machine Learning team and help solve real operational challenges across one of Canada's largest supply chains. Although our team is called Applied Machine Learning, our day-to-day work focuses primarily on software development, data engineering, and process automation. We build Python applications, SQL solutions, dashboards, and internal tools that save hundreds of hours of manual work and improve supply chain operations. Machine learning is occasionally part of our toolkit, but it is not the primary focus of this role.

You may work on projects such as:

• Building Python applications that automate manual business processes
• Writing SQL against enterprise data warehouses (BigQuery and Oracle)
• Developing internal dashboards and reporting tools
• Integrating systems using APIs
• Designing workflows that eliminate repetitive operational tasks
• Working directly with business partners to understand problems and deliver practical solutions
• Building and maintaining scalable data pipelines that support reporting, analytics, and operational applications.
• Developing solutions within Google Cloud Platform (GCP) and Windows virtual machine environments.

You’ll own real projects from concept to production—not just small pieces of larger initiatives. From gathering business requirements through design, development, testing, deployment, and ongoing support, you’ll experience the full software development lifecycle while receiving mentorship from the team.

Responsibilities

• Develop Python applications that automate supply chain processes.
• Write efficient SQL queries against enterprise-scale datasets in BigQuery and Oracle.
• Design, build, test, and deploy internal tools used by Supply Chain teams across Canada.
• Partner directly with business users to understand operational challenges and translate them into technical solutions.
• Investigate production issues, troubleshoot problems, and continuously improve existing automation.
• Create clear technical documentation to ensure solutions are maintainable and easy to support.
• Continuously identify opportunities to eliminate manual work through automation.

Technologies you’ll use

• Python
• SQL (Google BigQuery & Oracle)
• Google Cloud Platform
• Jupyter Notebooks
• Power BI
• Git
• Jira
• Confluence
• Windows and Linux development environments

What you’ll need

• Post-secondary education in Computer Science, Data Science, Engineering, or a related field.
• Experience writing Python applications and SQL queries. Exposure to cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure is an asset.
• Strong curiosity and a willingness to independently learn new technologies.
• Resourceful and comfortable researching unfamiliar problems independently while knowing when to seek guidance.
• Enjoys solving ambiguous business problems with practical software solutions.
• Able to work independently while communicating progress and asking thoughtful questions when needed.
• Strong attention to detail and a desire to build reliable, maintainable software.

Please note Loblaw's Return to Office policy is 4 days in the office.

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 - $65,700.00 / 35.100,00$ - 65.700,00$ (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. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.