- Employment type
- Full-time · On-site
- Posted
- November 9, 2026
- NOC code
- 21232 — Software developers and programmers
- Province
- Quebec (QC)More in Quebec
Hiring confidence: Sparse posting · 7/100
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 21232 — Software developers and programmers. 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
21232 — Software developers and programmers. 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
- Statistical Analysis
- Machine Learning
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
Scan your resume to see your fitKeep looking
Similar jobs
What you'll do
- Develop and implement machine learning models
- Analyze complex datasets to identify patterns and insights
- Support business decision-making through data-driven solutions
- Collaborate with cross-functional teams
- Document and present findings to stakeholders
- Contribute to data science best practices and methodology
What you'll need
- Professional experience in data science or related field
- Strong statistical and analytical skills
- Experience with machine learning models
- Proficiency in programming languages such as Python or R
- Experience with data manipulation and SQL
- Ability to communicate insights to non-technical stakeholders