Co-Op/Intern Data Scientist

Toronto, Canada

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Make fast, confident and informed supply chain decisions in an unpredictable world. See how Kinaxis can help your business know sooner and plan better.

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At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact.

Every day, we’re empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.

We make the world better, and you can too.

Co-op/Intern Data Scientist

Job location: Toronto, Canada

Term Length: 8 or 12 Months -  Starting May 2022

About the team

The Data Science team is responsible for delivering machine learning solutions in the supply and demand space for verticals such as Retail, CPG, Life Sciences etc. This includes problems in the space of forecasting, optimization, replenishment, explainability, and more. Our data scientists enjoy breaking down complex business problems into technical requirements, doing the research to come up with effective solutions, and working with the engineering teams to implement the new features into the product.

We are looking for interns who are passionate about data science to join our talented team and help us build products that leverage machine learning to solve real world business problems.

What you will do

  • Collaborate with other team members to develop specific ML features
  • Work with other data scientists and engineering team to deliver features into production
  • Present your work at our research meetings and get feedback from rest of team
  • Be on the team that supports existing client ML deployments
  • May perform additional projects upon request

What we are looking for

  • Knows their way around Python (libraries such as pandas, NumPy, scikit-learn etc.)
  • Has experience with SQL
  • A team player who can collaborate with other technical folks on the team

Things that would definitely help

  • Knowledge of Spark and Hadoop
  • Exposure to big data or cloud technologies


What we have to offer

  • Challenging Work - We love solving highly complex problems. And as the global leaders in our industry, we never stop innovating—our work is never “done. That’s because across our teams and in all roles, every employee is empowered to bring their best ideas forward and to jump in and solve the problems they’re passionate about.
  • Great People - We take our work seriously, but we don’t take ourselves too seriously! It’s in our DNA to celebrate, laugh, and have fun. We are stronger, together, when we are open, honest, and above all, real. Every person is valued here and plays an important role in our shared success.
  • Global Impact - As a global team spanning continents, boundaries, and cultures, every day we are inspired by the impact our work has on our colleagues, our customers, our communities, and the world at large.
  • Diversity, Equity and Inclusion - Diversity, equity and inclusion are more than words to us. They are the guiding principles for building a culture where we celebrate each others’ differences, continuously strive for equality and recognize that inclusion makes us stronger as individuals, a company and a global citizen. 

For more information, visit the Kinaxis web site at or the company’s blog at

Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Human Resources at This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Job region(s): North America
Job stats:  30  9  0
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