Data Scientist II (Credit Risk and Product)

Toronto, Ontario

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 24, 2026
NOC code: 21211 — Data scientists
Province: Ontario (ON)More in Ontario

Hiring confidence: Sparse posting · 22/100

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Job Overview

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On Site Toronto, Ontario Full time R_1507885 Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the sala…

This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. TD Bank 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.

All Data Scientist jobs in Ontario

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What you'll do

Develop and maintain credit risk models
Analyze data to support product development decisions
Build machine learning solutions for risk assessment
Collaborate with analytics and business teams
Create data visualizations and insights
Document and communicate findings to stakeholders

What you'll need

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
2-5 years of professional data science experience
Proficiency in Python or R
SQL database skills
Understanding of credit risk or financial services (preferred)
On-site work in Toronto, Ontario