Data Scientist

Toronto, Ontario

On-site

Full-time

No salary postedYesterday

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Employment type: Full-time · On-site
Posted: September 19, 2026
NOC code: 21211 — Data scientists
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

Jobs

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Application Deadline: 10/30/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting AIJobsAtBMO Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decision…

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

Fit check

Is this role right for you?

This posting does not list specific skills. Your match score is built from the full description instead.

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