Toronto, Ontario

Data Science Intern - Winter 2020 (Montreal and Quebec City)

Various Locations, Quebec
Entry Level

We value diversity and are committed to creating an inclusive workplace that inspires each of us to be the best we can be.  Join our team and make a difference!

Your Job

Interested in joining a team of data scientists and developers?  We are currently looking for interns for our Data Lab - R&D department!  You will take on challenging projects that provide tremendous opportunities to learn and grow, surrounded by a multi-disciplinary team that constantly pushes to develop and implement innovative products. Why join us? In a world where data is changing the way we live, the Data Lab team leverages a variety of sources of information coming from all touchpoints with our customers. We also use state of the art technologies to explore new possibilities and help us become one of the smartest players in the game. From analyzing our customers driving behaviours to state of the art technology for determining accurate prices on intangible products, the opportunities stemming from being the largest P&C insurer in Canada are endless. To get a glimpse of our ongoing projects, have a look at this blog post. WORKPLACE: Montreal (2020 Robert-Bourassa) or Quebec city (5700, Des Galeries)


  • Stay current on new approaches or opportunities, and bring them to the solutions you design
  • Transform complex data sets into meaningful conclusions and recommendation
  • Develop novel and innovative solutions for pattern recognition using machine learning and statistical approaches
Your Skills


  • Bachelor, Master or PhD in progress related to artificial intelligence, computer science or data science
  • Open-source frameworks: Python, R, Spark, Hadoop
  • Work environment: GitHub, Git, Agile, Scrum
  • Understanding of the underlying Machine Learning theory an asset
  • Understanding in any specific field: Computer vision, Natural Language Processing or Artificial Intelligence an asset
  • Practical experience with machine learning or deep learning framework an asset
  • Ability to concentrate on loosely defined problems which require application of creative approaches
  • Strong communication, time-management, organization, and prioritization skills
  • Understanding of data science approaches in consumer research domains an asset
  • Cooperative team player


  • Open, collaborative and tech-driven workspace
  • Possibility to build a career
  • Competitive salary
  • Flexible hours
  • Open, collaborative and tech-driven workspace
Closing Statement

Eligibility to work in Canada It's important that you are eligible to work in Canada at the time an offer of employment is made. You may be requested to provide proof of eligibility at that time.

Background Checks Prior to receiving a job offer, you may be asked to consent to background checks if it's a requirement for the role. These checks could include: work references, education and credential confirmation, employment verification, identity check, credit report, criminal offence and driver's license record.

A career in Insurance has never been this exciting.

Evolving consumer expectations and technology have helped to shape a new vision for our industry - and we are leading the way. Our Technology teams are reshaping the way we do business and setting new industry benchmarks. Our Claims representatives are helping customers to get back on track after they experience a loss.  Our product teams are developing products that protect people and businesses so they can focus on what matters to them most.

Our success story is written by our passion for living our values and creating a better tomorrow.  We're re-writing the future of insurance - are you ready to be a part of the story?

How to Apply