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 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!

What you'll do:

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 & Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.

The opportunity:

• 8+ month work-term beginning September 2026.
• 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:

• The primary objective of this internship is to develop a "Reasoning & Automation" solution that evolves Geotab Ace into a fully integrated, context-aware assistant. Key goals include:
  • Multi-Modal Ingestion: 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.
  • Contextual Enrichment: 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.
  • Proactive Assistance & Navigation: 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.
  • Optimization of RAG & SQL Generation: 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.

What you'll bring to the role:

Chelsea Avondale is the world’s most cutting edge home insurance group. We have developed the most sophisticated risk modelling and platform technologies for home insurance and deploy that technology through our own insurance company.

Our team consists of some of the brightest minds in scientific risk modelling, systems engineering, and insurance. Our operations include our scientific research & engineering division (Skynet Software) and Canadian property & casualty insurance company (Max Insurance).

Together, our group is working to transform the Canadian and global insurance landscape.

This role will be joining the cornerstone of our organization - our engineering division, Skynet Software.

What you’ll do in this role:

• Work with a team of established scientists and engineers with a diverse background in modelling and research.
• Contribute to the scientific and technological development of severe natural hazard models (e.g., wildfire, flood, windstorms) and their applications.
• Champion the development cycle from data cleaning thru implementation.
• Provide critical evaluation of scientific literature and engage industry experts to help formulate solutions to specific problems.
• Leverage libraries and packages in Python to write scientific code that is modular, fast and easy.
• Manage individual project priorities, deadlines and deliverables with your technical expertise.
• Calibration and validation of the individual model components, including benchmarking to historical events.
• Research, vet and augment various datasets from different source including remotely sensed satellite imagery, geospatial and environmental information, weather data, with a focus on the need for statistical credibility at all times.
• Evaluate model outputs in time and space using GIS tools.

Must have experience and skills for this role:

• BSc, MSc, or PhD in Applied Mathematics or Physics with an outstanding research track record.
• Writing high-performance scientific code in Python.
• Broad knowledge of mathematical modelling, numerical solutions to differential equations, optimization, uncertainty quantification, Monte Carlo simulations.
• Experience with statistical evaluation of large, multi-dimensional datasets.
• Demonstrated experience running computer-based experiments with geophysical applications.
• Experience in academia or industry on related topics post PhD will be beneficial.
• Our ideal candidate has catastrophe modelling experience e.g., flood/wildfire/severe weather.

Skynet Software welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.