Applied Machine Learning Team: Supply Chain Co-op
Loblaw Companies
Brampton, Ontario
6d ago

Why is this role important?

Term Length : 4 months

Term Start : May 9th, 2022

Term End : August 19th, 2022

  • COVID Vaccination Status / Return to Office* :
  • COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians "Live Life Well".

    In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening.

    Store Support employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening, paid for by the company, in order to access the workplace.

    Applied Machine Learning Team : Supply Chain Co-op

    The Loblaw Supply Chain is the heart of our business and is committed to making customers our number one priority. As a member of our dynamic Supply Chain network, you will play a role in ensuring our product nearly 1billion units of it makes its way from one of our 3,000 vendors, through one of our 27 distribution centres, to one of our 2,300 locations across Canada, and into the homes of millions of Canadians each year.

    How’s that for a challenge?

    If joining an innovative highly skilled team, focused on using proven machine learning techniques to solve real supply chain problems appeals to you, we have a feeling that joining the Applied Machine Learning team is the opportunity you’ve been looking for.

    Position Overview :

    As a part of the Applied Machine Learning 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 touches all aspects of replenishment including : forecasting, inventory optimization, quality control, operations management, and reporting and analytics.

    A successful co-op colleague will be :

  • Passionate about data, algorithms, programming and statistics
  • A motivated self-starter and a relentless problem solver
  • 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
  • How You’ll Succeed :

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