Senior Data Scientist - Fraud Detection
- Employment type
- Full-time · On-site
- Posted
- September 23, 2026
- Salary range
- $120,000–$150,000 CAD per year
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Some gaps · 40/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. DataVisor 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 advertises $120,000–$150,000.
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
- Data Science
- Fraud Detection
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What you'll do
- Develop and deploy machine learning models for fraud detection
- Work with the AI-powered fraud and risk platform
- Design unsupervised learning algorithms
- Support real-time fraud detection and prevention
- Analyze fraud and money laundering patterns
- Contribute to data enrichment and consolidation processes
- Monitor and improve model performance and detection coverage
What you'll need
- Senior-level experience in data science or machine learning
- Experience with fraud detection or financial crime prevention
- Strong programming skills in Python or similar languages
- Knowledge of unsupervised machine learning techniques
- Understanding of AML (Anti-Money Laundering) regulations or fraud patterns
- Experience with large-scale data processing
- Statistical analysis expertise