- Employment type
- Full-time · On-site
- Posted
- November 7, 2026
- NOC code
- 21232 — Software developers and programmers
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 29/100
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 21232 — Software developers and programmers. Cognizant 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
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:
- Machine Learning
- Data Analysis
- Predictive Modeling
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What you'll do
- Perform data analysis and exploration on complex datasets
- Develop and implement predictive models using machine learning
- Extract actionable insights from data
- Support data-driven decision-making across the organization
- Collaborate with cross-functional teams
- Solve challenging business problems using analytical approaches
What you'll need
- Experience with machine learning algorithms and techniques
- Strong analytical and problem-solving skills
- Proficiency in programming languages (Python, R, or similar)
- Experience with statistical analysis and data manipulation
- Ability to work with complex datasets
- Strong communication and collaboration skills