Data Scientist Intern (Winter/January 2027, 4-8 Months)

Who we are:

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. 

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern to join Geotab's maintenance analytics team, the team that turns raw vehicle telematics into predictive maintenance products used by fleets around the world. This isn't a shadow the team internship: our last intern in this role ended up designing and shipping an actual product feature. Comfortable with ambiguity, eager to own something end to end, and fluent enough with modern AI tooling to spend their time on the hard problems instead of the boilerplate. If you love technology, 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'll work directly with our data scientists on the full lifecycle of a predictive maintenance data product: exploring raw diagnostic and telemetry signals, prototyping features and models, and helping productionize the result into a data pipeline that ships real signals to customers. You'll use AI assisted workflows as a default part of how you work, not as a novelty, but because that's how the team operates day to day. The goal is for you to spend your term building something you can point to, not maintaining a dashboard. Before any of those ships, you'll validate the approach itself, exploring prior art and running quick experiments to confirm a signal or method is worth building on.

The opportunity:

• 4-8 month work-term beginning January 2027.
• 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.
• This posting is for an existing vacancy.

How you'll make an impact:

• Own a discrete analytics or pipeline project end to end, from problem framing and signal exploration through a working, demoable output, rather than a series of isolated, one off asks
• Explore raw diagnostic and telemetry signals in Google BigQuery; turn patterns into features, prototypes, and predictive models
• Contribute production quality Python/SQL to shared data pipelines, following the team's Git and code review practices
• Use AI coding/agentic tools deliberately to accelerate exploration, scaffolding, and debugging, so more time goes toward the actual problem
• Test and validate model outputs and pipeline reliability before deployment and metrics monitoring thereafter
• Present progress at sprint reviews and team technical sessions, and collaborate with data scientists, product, and other technical stakeholders
• Run exploratory analysis and a quick literature or prior-art scan on existing predictive maintenance approaches before committing to a modeling path
• Benchmark candidate approaches (features, model families, thresholds) against a baseline and document the tradeoffs

What you'll bring to the role:

• Currently pursuing a Bachelors degree in an applied, data oriented STEM field: Computer Science, Engineering, Data Science, Applied Math/Statistics, Physics, or similar
• Solid, working proficiency in Python and SQL
• Working knowledge of Git and standard version control workflows
• Real, demonstrated experience building with AI tools: a personal, academic, or hackathon project where you used AI assisted workflows (coding agents, LLM tooling) to actually build something, not just used a chatbot for homework
• Strong ownership and follow through: someone who works carefully to get things right, rather than moving fast and leaving things unfinished
• High accuracy and attention to detail
• Ability to prioritize and stay effective as priorities shift
• Highly organized, collaborative team player, genuinely eager to learn quickly
• Exposure to workflow orchestration tools (e.g. Airflow) and Google BigQuery
• Familiarity with a BI platform (e.g. Superset)
• Experience with sensor/IoT/telematics data or data cleaning

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

How we work:

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.

Hourly Rate

$24—$36 CAD