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Data Scientist – Internship​/Co-op; Winter

Job in Vancouver, BC, Canada
Listing for: Intact
Full Time, Contract, Apprenticeship/Internship position
Listed on 2026-09-23
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 66500 - 83100 CAD Yearly CAD 66500.00 83100.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist I – 4-Month Internship/Co-op (Winter 2027)
Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.
Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.
Salary for the candidate  will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented below is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.
Salary Range (but Not Limited To)  66,500 - 83,100
About

The Role  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!
What you’ll do here:
Translate complex, multi-source datasets into clear, business-ready insights, recommendations, and measurable impact.
Build production-quality analytical and ML code (Python), 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., machine learning, 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.
What you bring to the table:
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 Winter 2027 Term in hybrid mode (January to April).
Must be an active student during your internship and/or returning to school in next Summer or Fall 2027 following your internship.
No Canadian work experience required, but must be eligible to work in Canada.
Previous internship or work experience in data science, artificial intelligence, machine learning, or deep learning is an asset.
Strong curiosity, problem-solving skills, and analytical abilities.
Excellent communication skills with a self-reliant and strong‑ownership mindset.
Adaptability and commitment to continuous learning.
We’re accepting applications now through September 25, 2026.
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Position Requirements
Less than 1 Year work experience
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