Data Scientist – 4-month Internship/Co-op (Fall 2026)

Intact FC•Montreal, QC

1d•Hybrid

About The Position

Launching your tech career at Intact means joining a diverse team of more than 3,000 Digital, Data and Tech experts working at the intersection of what exists and what’s possible. Here, you’ll be supported by forward-thinking leaders who celebrate shared success, and you’ll help push the industry forward with digital solutions that go beyond insurance to offer everyday value to millions of people. You’ll grow personally and professionally with access to cutting-edge technology-driven learning platforms and make lasting connections near and far. Most importantly, you’ll discover how exciting the “real world” can be. Here, your career will take off 🚀 We are looking for Data Scientist interns for our growing team!

Requirements

Currently pursuing a Bachelor's, Master's, or PhD degree in a field related to artificial intelligence, data science, computer science, mathematics, statistics, or any other related field.
Available to work with us full-time, 35 hours per week, for the Fall 2026 Term in hybrid mode (September to December).
Must be an active student during your internship and/or returning to school in next Winter 2027 following your internship.
For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English speaking colleagues across the country.
No Canadian work experience required, but must be eligible to work in Canada.
Adaptability, curiosity, and a commitment to continuous learning.
Excellent communication skills with a self-reliant and high-ownership mindset.
Must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

Nice To Haves

At least 1 previous internship in data science, artificial intelligence, machine learning, or deep learning is an asset.

Responsibilities

Translate complex, multi-source datasets into clear, business-ready insights, recommendations, and measurable impact.
Build production-quality analytical and ML code (Python/R), using modern libraries and best practices (testing, version control, reproducibility) to deliver robust technical outcomes.
Contribute to applied research and development that advances AI-enabled products - prototyping, experimenting, and validating approaches that solve real business problems.
Explore and evaluate cutting-edge methods across the fast-evolving AI landscape (e.g., deep learning, NLP, computer vision, geospatial analytics), and translate promising ideas into practical solutions.
Work hands-on with diverse data modalities - geomatics/geospatial, telematics/time-series, text, and images - linking patterns in the data to operational and strategic business decisions.
Communicate findings to both technical and non-technical stakeholders through concise narratives, visualizations, and well-documented deliverables that support product and business roadmaps.