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Machine Learning Co-Op Jobs

Company

ClickJobs.io

Address Brampton, Ontario, Canada
Employment type FULL_TIME
Salary
Category Human Resources Services
Expires 2023-06-13
Posted at 1 year ago
Job Description
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.
Applied Machine Learning Co-op, Replenishment Optimization
Supply Chain Analytics
Term Length: 8 Months
Term Start: September 11, 2023
Machine learning (ML) is at the forefront of the rising popularity of data-driven software applications. At Loblaw’s Supply Chain Analytics, we have a diverse set of AML initiatives that you could be a part of and make an impact on. You can work in the area of AML for classification, regression, anomaly detection, and forecasting; explore techniques to reduce model bias while tuning; extend support by creating data transformation and knowledge bank.
You should be familiar with and flexible to work in both project and support environments and open to taking the lead on certain projects. Communication skills are key, as you will collaborate with various teams including IT and Senior Leadership.
What You Will Do:
Work closely with IT and the wider Replenishment Optimization team to identify use-cases for AI/ML applications in critical areas of the Supply Chain
Discover new opportunities to apply analytics and data science concepts
Prototype any of the use-cases identified with the end goal of optimizing and improving supply chain efficiency
Support data awareness in the team
What you will need:
Post-secondary education in computer science, math, or engineering
Demonstrated relevant experience from previous internships and/or academic or personal projects.
Experience in Python and SQL.
Experience in Data Visualization and BI tools
Excellent communication and teamwork skills
Ability to work independently and with others
Inquisitive and detailed oriented (comfortable asking questions)
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.