Who we are

Who you are:

We are looking for amazing talent who can contribute to our efforts and deliver results! Geotab is seeking a Data Scientist Intern who will immediately contribute to the organization and to the Data and Analytics team. If you love technology and analysis, are well organized, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Data Scientist Intern, you will work alongside a team of fellow Data Scientists on Geotab’s Product Analytics team. You will work closely with Data Scientists, Product Managers and Data Engineers to mine data to support the development of product analytics dashboards and insights. To be successful, you must be a big-picture thinker who is also interested in the details. The results of your analysis will be developed into customer-facing data products, so you will need to understand how our partners and customers can benefit directly from your analysis. The successful candidate will also be able to deep dive into initially vague requests and make sense of them by asking good questions and effectively communicating back and forth with stakeholders until reaching a solution.

The opportunity

• 12 month work-term beginning September 2025.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.

How you'll make an impact

• Use SQL and Python to interact with Geotab’s big data infrastructure.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions.
• Use data mining, model building, and other analytical techniques to develop new datasets and data-driven solutions.
• Make recommendations for new metrics, techniques, and strategies to improve Geotab’s product suite.
• Build compelling stories from data and present them to different types of technical and non-technical stakeholders.

What you'll bring to the role

• Within the final two years of a university degree (Masters or Bachelors) in Engineering, Computer Science, Math, or a related field.
• Strong communication, organization, and time management skills, as well as a willingness to learn and a strong work ethic.
• Experience using SQL.
• Experience using Python.
• Experience working with any dashboarding or data orchestration tools such as Airflow is an asset.
• Previous industry work experience preferred.

How we work