MScAC Data Scientist Interns

<div class="content-intro"><h1 class="MuiGrid-root css-1j4zddb"><span style="color: rgb(37, 71, 123);">Who we are:</span></h1> <div class="MuiGrid-root css-17v2lcf"><span style="color: rgb(102, 120, 140);">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.</span></div> <div class="MuiGrid-root css-17v2lcf">&nbsp;</div> <div class="MuiGrid-root css-17v2lcf"><span style="color: rgb(102, 120, 140);">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.</span></div> <div class="MuiGrid-root css-17v2lcf">&nbsp;</div> <div class="MuiGrid-root css-17v2lcf"><span style="color: rgb(102, 120, 140);">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&nbsp;<a class="MuiTypography-root MuiTypography-inherit MuiLink-root MuiLink-underlineHover css-sbvzk" style="color: rgb(102, 120, 140);" href="https://careers.geotab.com/blog/">blog</a>&nbsp;and follow us @InsideGeotab on&nbsp;<a class="MuiTypography-root MuiTypography-inherit MuiLink-root MuiLink-underlineHover css-sbvzk" style="color: rgb(102, 120, 140);" href="https://www.instagram.com/insidegeotab/">Instagram</a>. Join our&nbsp;<a class="MuiTypography-root MuiTypography-inherit MuiLink-root MuiLink-underlineHover css-sbvzk" style="color: rgb(102, 120, 140);" href="https://careers.geotab.com/newsletter-subscribe/">talent network</a>&nbsp;to learn more about job opportunities and company news.</span></div></div><h1><span style="color: rgb(37, 71, 123);">Who you are:</span></h1> <p><span style="color: rgb(102, 120, 140);">We are always looking for amazing talent who can contribute to our growth and deliver results! <strong>Geotab is seeking 3 Data Scientist Interns from the MScAC program at UofT</strong> who can help us discover the value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you love technology and are keen to join an industry leader — we would love to hear from you!</span></p> <h1><span style="color: rgb(37, 71, 123);">What you'll do:</span></h1> <p><span style="color: rgb(102, 120, 140);">As a Data Scientist Intern, you will be a crucial part of producing innovative analytics from Geotab’s big data environment. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence and statistical analysis tools to build models and high-quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy &amp; Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.</span></p> <h1><span style="color: rgb(37, 71, 123);">The opportunity:</span></h1> <ul> <li><strong><span style="color: rgb(102, 120, 140);">Please note that this posting is for students from UofT's MScAC program only.</span></strong></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">8 month work-term beginning May 2026.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Full-time, paid internship: Monday - Friday,&nbsp;37.5hrs/week.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click&nbsp;<a class="postings-link" style="color: rgb(102, 120, 140);" href="https://www.geotab.com/blog/first-week/"><span style="text-decoration: underline;">here</span></a>&nbsp;to learn more!</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Learn more about the Geotab Campus Program&nbsp;<a class="postings-link" style="color: rgb(102, 120, 140);" href="https://www.geotab.com/blog/geotab-campus-program/"><span style="text-decoration: underline;">here</span></a>.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">This posting is for an existing vacancy.</span></li> </ul> <h1><span style="color: rgb(37, 71, 123);">Projects:</span></h1> <p><span style="color: rgb(33, 50, 94);"><strong>Geotab Ace, Advance GenAI for Fleet Intelligence</strong></span></p> <ul> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">The primary objective of this internship is to develop a "Reasoning &amp; Automation" solution that evolves Geotab Ace into a fully integrated, context-aware assistant. Key goals include:</span> <ul> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);"><strong>Multi-Modal Ingestion:</strong> Implement a multi-modal ingestion layer (leveraging technologies like Google's LiveAPI) capable of processing screen content, audio, and text simultaneously to establish real-time user context.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);"><strong>Contextual Enrichment:</strong> Develop mechanisms to automatically enrich user prompts with environmental state (e.g., current page URL, visible data charts), eliminating the need for users to manually explain their context.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);"><strong>Proactive Assistance &amp; Navigation:</strong> Extend the reasoning capabilities of the agent to not only answer data queries but also guide users through complex workflows ("Where do I go to...") and offer proactive support.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);"><strong>Optimization of RAG &amp; SQL Generation:</strong> Continue to refine the underlying RAG architecture and "text-to-SQL" generation for Google BigQuery to ensure the answers provided are accurate, safe, and efficient.</span></li> </ul> </li> </ul> <p><span style="color: rgb(33, 50, 94);"><strong>Vehicle Collision Severity Prediction</strong></span></p> <ul> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Building on foundational work completed in 2025, the 2026 project will focus on model development, evaluation and possibly implementation. The primary objective is to develop a baseline collision severity prediction model that moves beyond our current major/minor classification based on g-force magnitude. Success means creating a model that predicts business-relevant outcomes such as damage severity categories, estimated dollar amounts for repairs, or liability classifications. The intern will leverage cleaned datasets from 2025 (including claims data, public crash data, and other available sources) to engineer features and build initial models. Key deliverables include:&nbsp;</span> <ul> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">A baseline severity prediction model with documented performance metrics</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Comparison of different modeling approaches and feature sets</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Analysis of which data sources and features are most predictive of useful severity metrics</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Recommendations for model refinement and production deployment.&nbsp;</span></li> </ul> </li> </ul> <p><span style="color: rgb(33, 50, 94);"><strong>Automated, Scalable Load Weight Detection in Heavy Duty Vehicles</strong></span></p> <ul> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">The project requirements and objectives are such that the end result is usable for the future work described. We should be able to detect when a vehicle on supported platforms is unloaded with a high degree of certainty. Additional bucketing of loaded vehicles into quartiles of maximum weighted load is a secondary goal. Once determining a minimum amount of driving data required to make a determination, all trips meeting that criteria should be categorized automatically with the development of a daily pipeline.</span></li> </ul> <h1><span style="color: rgb(37, 71, 123);">How you'll make an impact:</span></h1> <ul> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Interact with Geotab’s Big Data infrastructure on Google BigQuery using Python and SQL.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Process, cleanse, and verify the integrity of data used for analysis.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Select features and build and optimize classifiers using machine learning techniques.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Use machine learning packages like scikit-learn and TensorFlow to develop ML models, features for ML models, and visualize features.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Interface with product managers, data engineers, and software developers to gather requirements.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Own the design, development, and maintenance of ongoing metrics, reports, analysis, dashboards, etc., and deliver complete analytics/reporting solutions to drive key business decisions.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Make recommendations for new metrics, techniques, and strategies to improve the Geotab product suite.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Support a platform providing ad-hoc and automated access to large datasets.</span></li> </ul> <h1><span style="color: rgb(37, 71, 123);">What you'll bring to the role:</span></h1> <div class="MuiGrid-root css-17v2lcf"> <ul> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Graduate or Postgraduate Degree in Computer Science, Software/Electronics/Electrical Engineering, or any related field.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">We welcome applicants from a range of experience levels with an excellent understanding of Python and SQL.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Experience with parallelization tools like Apache Beam and Spark, and scheduling tools like Airflow is nice to have.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Advanced pattern recognition and predictive modeling or Graph Data Modeling experience is a bonus.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Experience with developing machine learning models and in feature engineering is a plus.</span></li> <li style="color: rgb(102, 120, 140);"><span style="color: rgb(102, 120, 140);">Experience working with Google Compute Engine and Google BigQuery is nice to have.</span></li> </ul> </div> <div class="MuiGrid-root css-17v2lcf"><span style="color: rgb(102, 120, 140);">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.</span></div> <div class="MuiGrid-root css-17v2lcf">&nbsp;</div> <div class="MuiGrid-root css-1spul5l"><span style="color: rgb(102, 120, 140);"><strong>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.</strong></span></div> <div class="MuiGrid-root css-1spul5l"> <div class="MuiGrid-root css-1spul5l"> <h1 class="MuiGrid-root css-1j4zddb"><span style="color: rgb(37, 71, 123);">How we work:</span></h1> <div class="MuiGrid-root css-17v2lcf"><span style="color: rgb(102, 120, 140);">At Geotab, we have adopted a&nbsp;flexible hybrid&nbsp;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!</span></div> <div class="MuiGrid-root css-17v2lcf">&nbsp;</div> <div class="MuiGrid-root css-17v2lcf"><span style="color: rgb(102, 120, 140); font-size: 8pt;">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 <a href="https://www.geotab.com/privacy-policy/">Privacy Policy</a>. Click <a href="https://docs.google.com/document/d/1uE3uV2SSp0YnYx4utU9QdhN8Q_RzqMphI_pVJyVWQn8/edit?tab=t.0">here</a> to read our Privacy Notice. Click&nbsp;<a class="MuiTypography-root MuiTypography-inherit MuiLink-root MuiLink-underlineHover css-sbvzk" style="color: rgb(102, 120, 140);" href="https://docs.google.com/document/d/1wsI3_9z1B2IOJtiNNt7Kx9dHjxY7c4yZ7txVDaoF_0U/edit"><span style="text-decoration: underline;">here</span></a>&nbsp;to learn more about what happens with your personal data.</span></div> </div> </div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.</p></div><div class="title">Hiring Range</div><div class="pay-range"><span>$45,000</span><span class="divider">&mdash;</span><span>$75,000 CAD</span></div></div></div>