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 pursing a Bachelor's, Master's, or PhD degree in a field related to 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 (September to December).
  • Must be an active student during your internship and/or returning to school in Winter 2027 semester following your internship.
  • No Canadian work experience required, but must be eligible to work in Canada.
  • Experience in data science, machine learning, or deep learning
  • At least one previous internship in a similar or related role
  • Strong analytical abilities and problem-solving skills
  • Adaptability, curiosity, and a commitment to continuous learning
  • Excellent communication skills with a passion for technology
  • Self-reliant with a strong sense of responsibility

Nice To Haves

  • Experience in a financial services company (an asset)
  • Python
  • NLP/LLM

Responsibilities

  • Transform complex data sets into meaningful conclusions and recommendations
  • Complete high-quality coding and leverage commonly used packages & libraries to perform assigned technical tasks
  • Gain experience working with various types of data, including geomatics, telematics, textual data, and image data

Benefits

  • Performance-led financial rewards
  • Support
  • Opportunities
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