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. Join our talent network to learn more about job opportunities and company news.

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 who will work on data analysis, computer modeling, and generative AI. Your work directly impacts our actions and relationships with customers, partners, and other Geotab teams. 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, your key areas of responsibility will be to assist with ad hoc data analyses, maintain & monitor predictive models, and use Geotab’s internal AI tools to assist with business needs. You will need to work closely with Geotab’s Revenue Generation Data teams and their stakeholders.

To be successful in this role you will have a strong work ethic, an eagerness to jump in and help fix things, strong communication skills and a positive attitude. In addition, a successful candidate will have strong proficiency in Google workspace, confidence with SQL-based tasks, and experience with the python programming language. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

The opportunity

8-12 month work-term beginning May 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

Assist teammates and stakeholders with data answers to important business questions
Improve and maintain existing machine learning models
Provide useful AI analyses and automation on big business data

What you'll bring to the role

Completing a computer science or math, science, or similarly related technical degree.
Confidence with tackling SQL and data analysis tasks.
Experience with python programming and machine learning.
Strong analytical skills with the ability to recognize patterns and change processes.
Strong communication, organization, and time management skills, as well as a willingness to learn and strong work ethic.
Enthusiastic, creative, self-motivated, with the ability to work with various departments across Geotab.

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. Click here to learn more about what happens with your personal data.

Location

Burnaby, British Columbia - Canada

Data Science

Job Overview

Job Posted:

4 weeks ago

Job Expires:

Job Type

Intern

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