Business Data Scientist Co-Op/Intern

Remote, Canada; Remote, USA; Toronto, Canada

Internship Entry-level / Junior


Kinaxis supply chain planning software revolutionizes planning by delivering the agility to make fast, confident decisions for your integrated business planning and digital supply chain.

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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.

Business Data Scientist Co-Op/Intern

Job location: Toronto, Canada; Remote, Canada; Remote, USA

Term Length: 4 or 8 Months starting May 2023

About the team

Working alongside the Rubikloud data science team, the Co-Op/Intern will familiarize with solution scope, capabilities and technology aspects and define a learning path and content for anyone interested to rapidly gain a basic understanding about this new AI/ML technology.

What you will do

  • Familiarize yourself with Forecasting, Demand sensing and Promotion Optimization technologies
  • Shadow implementations on multi-industry projects to understand the offered solution capabilities
  • Learn about benefits, used cases and functionalities of this new technology
  • Understand the Kinaxis continuous learning concepts and methodologies with our learning experts
  • Formulate recommendations on how we can best educate sales executives, future implementers and learning experts about this new technology
  • Support forecast improvement projects
  • May perform additional projects upon request

What we are looking for

  • Solid Supply Chain and AI/ML Academic foundation
  • Familiar with latest AI/ML technology and scripting
  • Autonomous and comfortable working in Virtual environment

Things that would definitely help

  • Looking for a future career in data science as Junior Data Scientist
  • Passion for forecasting
  • Self-Starter

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.

Tags: Machine Learning

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Countries: Canada United States
Job stats:  92  30  0
Category: Data Science Jobs
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