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Internship Predictive Modeling Jobs in Toronto, ON

Research Scientist, World Models

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

Conduct fundamental and applied research in generative and predictive world-modeling * Video ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Analyst, Data Science

Toronto, ON ยท Hybrid

CA$55K - CA$65K/yr

... predictive modeling, regression analysis, and statistical work spanning media, pricing, and ... Prior internship or academic project experience in an applied analytics setting. Salary Range: $55 ...

New

Summer Intern 2027 - AI

Toronto, ON ยท Hybrid

CA$54K - CA$72K/yr

Our internship program offers more than just experience; you'll join a vibrant community ... You'll work with modern tools and datasets to explore and prepare data, develop predictive models ...

Research Scientist, Neural Reconstruction

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... You have built generative or predictive models of the physical world with scale and efficiency in ...

Internship Predictive Modeling information

What is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

Infographic showing various Internship Predictive Modeling job openings in Toronto, ON as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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

Oakville, ON โ€ข On-site

Full-time, Internship

Posted 11 days ago


Job description

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,ย 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Clickย hereย to learn more!
  • Learn more about the Geotab Campus Programย 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.
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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 aย flexible hybridย 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!
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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.ย