Insights & Integrations Consultancy Data Intern (Fall/September 2025, 12 Months)

Oakville, Ontario - Canada

Geotab

Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.

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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 within the Insights & Integrations Consultancy team that will support ongoing projects by assisting in data analysis, visualization, and the development of solutions that help optimize fleet operations and enhance customer decision-making. 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 within the Insights & Integrations Consultancy team, you will gain hands-on experience in leveraging data to drive strategic insights for customers and partners. In this role, you will have the opportunity to work with Geotab’s open data platform, learning how to explore and interpret telematics data to solve real-world business challenges. You will collaborate with cross-functional teams, including Data Scientists, Product Managers, and Integration Engineers, to support key initiatives focused on portfolio expansion, retention, and solution innovation.

Throughout your internship, you will develop a deeper understanding of industry trends, fleet analytics, and Geotab’s ecosystem, while contributing to meaningful projects that have a direct impact on customers and partners.

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
  • Develop foundational knowledge of the Geotab ecosystem and telematics data, assisting in data exploration, visualization, and analysis to support customer and partner insights.
  • Collaborate with Data Scientists and cross-functional teams to optimize the use of Geotab’s technology, providing analytical support for ongoing projects.
  • Assist in building and refining data-driven dashboards for internal and external stakeholders, facilitating informed decision-making.
  • Support continuous improvement initiatives by gathering feedback, identifying trends, and contributing to data-driven recommendations.
  • Work closely with mentors to apply statistical and machine learning techniques in fleet analytics, helping develop predictive models and insights under guidance.
  • Contribute to proof-of-concept development, assisting in the creation of small-scale models or prototypes that demonstrate the feasibility and impact of analytics-driven solutions.
  • Stay informed on industry trends, emerging data science techniques, and best practices to enhance analytical capabilities.
  • Maintain and update documentation on data analysis processes, methodologies, and findings for internal knowledge-sharing.
  • Assist in maintaining data pipelines using SQL and Python-based workflows to support ongoing analytics initiatives.
What you'll bring to the role
  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Basic experience with Python for data analysis or automation (e.g., pandas, NumPy, or scikit-learn).
  • Familiarity with SQL and working with structured datasets.
  • Strong analytical and problem-solving skills, with an eagerness to learn how to extract insights from large datasets.
  • Interest in data visualization and storytelling, with exposure to tools like Power BI, Tableau, or Matplotlib.
  • Ability to communicate findings clearly to both technical and non-technical audiences.
  • Strong attention to detail and organizational skills, with the ability to manage multiple tasks.
  • Willingness to collaborate and work in a team-oriented environment.
  • Curiosity about emerging data science trends and a passion for applying analytics to solve real-world problems.
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.
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Category: Consulting Jobs

Tags: Computer Science Data analysis Data Analytics Data pipelines Data visualization Machine Learning Mathematics Matplotlib NumPy Pandas Pipelines Power BI Privacy Python Scikit-learn Security SQL Statistics Tableau

Perks/benefits: Career development Flex hours Health care Team events

Region: North America
Country: Canada

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