Logo of Huzzle


• Starts Sep 8

Market Loyalty Insights & Analytics Co-op

🚀 Off-cycle Internship


AI generated summary

  • You must be passionate about data, programming, and statistics, with the ability to apply machine learning to solve real-world problems. An eager learner, team player, and problem solver comfortable with advanced data concepts and programming languages like SQL and Python.
  • You will leverage data science to identify opportunities, develop solutions, and integrate them into core business processes in merchandising analytics.

Off-cycle Internship

Data, Software EngineeringBrampton


  • 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. 


  • 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

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • 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.


Work type

Full time

Work mode


Start date

Sep 8, 2024