- Employment type
- Full-time · On-site
- Posted
- September 20, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
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 Ontario. The Canadian NOC code for this position is 21211 — Data scientists. Manulife 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:
- Machine Learning
- Model Validation
- AI Governance
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What you'll do
- Provide independent validation and challenge of AI and machine learning models
- Ensure AI models are reliable, fair, safe, and fit for purpose before deployment
- Collaborate with model developers on model improvements
- Work with business stakeholders and governance teams
- Provide oversight of AI models across global business operations
- Support AI model governance and compliance processes
What you'll need
- Extensive experience in data science and machine learning
- Strong understanding of AI model validation and governance
- Experience with model fairness, bias detection, and safety
- Knowledge of regulatory requirements for AI deployment
- Ability to work independently and challenge technical decisions
- Experience with global or multi-stakeholder environments