- Employment type
- Full-time · On-site
- Posted
- November 7, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 18/100
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 21231 — Software engineers and designers. Scotiabank 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
21231 — Software engineers and designers. 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
- Analytics
- Python
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.
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What you'll do
- Deliver analytics and actionable insights
- Deepen understanding of client experience
- Analyze end-to-end client journey across business lines
- Identify opportunities to improve outcomes for clients
- Support Customer Insights Data and Analytics team
- Generate insights that drive business decisions
What you'll need
- Specialized expertise in data science
- Experience with analytics and insights generation
- Understanding of client experience and customer journey
- Knowledge of banking or financial services domain preferred
- Strong analytical and problem-solving skills