- Employment type
- Full-time · On-site
- Posted
- November 2, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
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 Ontario. 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 Ontario
Average salary for Data Scientist in Ontario
Median $103,730 per year, with most postings between $103,730 and $156,000 (Data scientists, 2026-05, 37 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 projects and initiatives
- Develop and implement advanced analytics solutions
- Mentor junior data scientists
- Collaborate with cross-functional teams
- Drive innovation in data-driven decision making
- Build predictive models and algorithms
- Communicate insights and recommendations to stakeholders
- Support organizational resilience through data insights
What you'll need
- Advanced degree in Data Science, Statistics, Mathematics, Computer Science or related field
- Extensive experience in data science and machine learning projects
- Proven track record of leading data science initiatives
- Strong programming skills in Python, R, or similar languages
- Experience with large datasets and distributed computing
- Knowledge of statistical methods and machine learning algorithms