Who needs insurance? Everybody. That keeps us busy. Very busy.
At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians.
Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day.
Here, innovation is everyone's job. Ready to make your mark?
As a Senior Data Scientist with the Intact Lab, you'll thrive as a technical expert, thought leader, and teacher with our diverse and highly skilled team. You'll leverage your expertise and knowledge of trends in analytics to make recommendations that solve complex problems and promote best practices across the organization. With the support of a passionate team, you will help create real value for both customers and teammates. Enjoy a work experience that promotes work-life balance with one of North America’s recognized best employers.
What you’ll do here:
What you bring to the table:
Here, innovation is everyone’s job and you’ll have the opportunity to make your mark. In return, we promise you the support, opportunities and flexibility to do you life’s best work and be your best self.
Here are a few reasons why others have joined our team:
Flexible Work Arrangements
We’re proud to support a flexible hybrid approach which gives everyone the best of both worlds. While there are no minimum or maximum time requirements, each team’s need for in-person connections will be different and there will be times you’ll join your colleagues at the office.
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We are an Equal Opportunity Employer
If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.
Click here to review other important information about the hiring process, including background checks, internal candidates, and eligibility to work in Canada.
This role is eligible for employee referral bonus. #myReferrals3000
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