Principal Data Scientist
- Employment type
- Full-time · On-site
- Posted
- October 31, 2026
- NOC code
- 21211 — Data scientists
- Province
- Quebec (QC)More in Quebec
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Quebec. The Canadian NOC code for this position is 21211 — Data scientists. Intact Financial is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Quebec
Average salary for Data Scientist in Quebec
Median $82,337 per year, with most postings between $69,496 and $101,411 (Data scientists, 2026-08, 4 postings). This posting does not state a salary.
NOC code
21211 — Data scientists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A master's or bachelor's degree in a quantitative field, plus Python or R, statistical modelling and experience shipping models to production.
Licensing: No licence or registration is required.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data Science
- Machine Learning
- Statistical Analysis
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What you'll do
- Lead data science initiatives and strategy
- Mentor and develop junior data scientists
- Develop and implement machine learning models
- Collaborate with business stakeholders to identify data-driven solutions
- Oversee data analysis projects and ensure quality standards
- Support organizational resilience through data insights
- Drive innovation in data science practices
What you'll need
- Advanced degree in Data Science, Statistics, Mathematics, or related field
- Significant experience in data science and machine learning
- Leadership experience managing data science teams
- Proficiency in programming languages (Python, R, or similar)
- Strong statistical and analytical skills
- Experience with large datasets and big data technologies