Data Scientist - Internship/Co-op

6d6 days ago

Intact

Montréal, CA · Full-time · C$66,500 – C$83,100

About this role

Join Intact's diverse team of more than 3,000 Digital, Data and Tech experts at the intersection of what exists and what’s possible. Data Scientist interns contribute to applied research advancing AI-enabled products that solve real business problems. You'll discover how exciting the real world can be.

Translate complex, multi-source datasets into clear, business-ready insights, recommendations, and measurable impact. Build production-quality analytical and ML code using Python/R, modern libraries, testing, version control, and reproducibility. Work hands-on with diverse data modalities including geomatics/geospatial, telematics/time-series, text, and images.

Explore cutting-edge methods across the AI landscape like deep learning, NLP, computer vision, and geospatial analytics. Communicate findings to technical and non-technical stakeholders through concise narratives, visualizations, and well-documented deliverables. Support product and business roadmaps with robust technical outcomes.

Grow personally and professionally with access to cutting-edge technology-driven learning platforms. Make lasting connections and shape the future in a workplace celebrating shared success. Intact promises support, opportunities, and performance-led financial rewards.

Requirements

Currently pursuing a Bachelor's, Master's, or PhD degree in artificial intelligence, data science, computer science, mathematics, statistics, or related field.
Available to work full-time, 35 hours per week, for the Fall 2026 term (September to December) in hybrid mode.
Must be an active student during internship and returning to school in Winter 2027.
Bilingualism required for candidates located in Quebec.

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).
Contribute to applied research and development that advances AI-enabled products - prototyping, experimenting, and validating approaches.
Explore and evaluate cutting-edge methods across the fast-evolving AI landscape (e.g., deep learning, NLP, computer vision, geospatial analytics).
Work hands-on with diverse data modalities - geomatics/geospatial, telematics/time-series, text, and images - linking patterns to business decisions.
Communicate findings to both technical and non-technical stakeholders through concise narratives, visualizations, and well-documented deliverables.