Data scientist jobs in Toronto, ON and nearby

Data scientist jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 500
Employers: 234

Advertised starting pay

Average starting payCAD / year: $131,478Across 36 listings
Average starting payCAD / hour: $71.78Across 23 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 54%272 listings
On-site: 45%227 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Toronto, ON and nearby

Within 25 km

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Added 7 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 7 days ago
Senior Data Scientist
TripleLift
Toronto, ON
The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of Tri
Added 8 days ago
C
Data Scientist, Model Performance Monitoring and Reporting
CIBC
Toronto, ON
- Full-time
Added 8 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 8 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 8 days ago
I
Principal Data Architect, FSI
Infostrux
Toronto, ON
- Full-time
Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a…
Added 9 days ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
Added 10 days ago
RB
Lead Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
Added 10 days ago
Y
Data Architect (Google BigQuery/GCP to Azure Databricks)
Yochana
Toronto, ON
- Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 10 days ago
N
Data Scientist
Numeris
Toronto, ON
- Full-time
Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters,…
Added 10 days ago
T
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD
Toronto, ON
- Full-time
Added 10 days ago
IG
Senior Data Scientist
Insight Global
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
7+ years of experience in data science, applied machine learning, predictive analytics, or a related field.
Added 10 days ago
R
Lead Data Scientist
RBC
Toronto, ON
- Full-time
Added 10 days ago
SL
Data Scientist
Sun Life
Toronto, ON
- Full-time
Added 10 days ago
SM
Senior Data Scientist
Sago Mini
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Added 10 days ago
V
Data Architect
VySystems
Toronto, ON
- Contract
Strong background in Data Modeling (Dimensional/Data Vault), Data Migration, and Modernization.
Added 10 days ago
T
AI2 Applied Machine Learning Scientist (Graduate)
TD
Toronto, ON
- Full-time
Added 10 days ago
Data Scientist, Growth (12 month contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
Added 10 days ago
EB
Data Scientist, Growth (12 month contract)
EQ Bank
Toronto, ON
- Contract
Added 10 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
Added 10 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 11 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 11 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 11 days ago
T
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
TD
Toronto, ON
- Full-time
Added 11 days ago
Machine Learning Engineer
Opendoor
Toronto, ON

Hays

Machine Learning Engineer

Toronto, ON, Canada

Pay Rate/Salary: $90/hr to $100/hr on Inc · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: Pay Rate/Salary: $90/hr to $100/hr on Inc
Job type: Contract
Apply by: Nov 21, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

Pay Rate/Salary: $90/hr to $100/hr on Inc

Your New Role:

We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians daily.

What You’ll Do:

The successful candidate will develop, train, evaluate, and improve ML and deep learning models.
The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
You will build PyTorch-based models for practical business use cases, analyze model performance and iterate based on clear metrics, and build reusable training, evaluation, and inference workflows.
The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.

What We’re Looking For:

Hands-on experience developing ML models
Strong Python programming skills.
Experience with PyTorch or similar deep learning frameworks.
Good grasp of ML fundamentals: training, validation, evaluation, optimization, overfitting, and generalization.
Experience gathering, cleaning, analyzing, and preparing data for ML.
Good software engineering practices: clean code, version control, testing, and documentation.
Strong ownership mindset and ability to drive work forward.
Clear communication and collaboration skills.
Especially Valuable
Experience with personalized recommendations, search, ranking, or relevance systems.
Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.
Experience supporting ML models in production.

How You’ll Succeed:

You’ll join a collaborative, fast-paced team working on cutting-edge ML problems that directly impact how millions of Canadians shop. We offer competitive compensation, continuous learning opportunities, and the chance to work with the latest technologies in machine learning and AI.
You will collaborate with highly skilled teams on impactful projects that touch the lives of millions of Canadians, thriving in an inclusive and supportive culture that celebrates diversity of thought and experience.
By embracing our values of authenticity, trust, and connection, you’ll help drive innovation and shape the future of eCommerce.

What You'll Get in Return:

You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment. Competitive compensation, continuous learning opportunities, and exposure to the latest technologies in machine learning and AI. You will collaborate with highly skilled teams on impactful projects while working in an inclusive and supportive culture that celebrates diversity of thought and experience.

What You Need to Do Now:

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

Apply About employer

More about this job

Responsibilities

Develop, train, evaluate, and improve machine learning and deep learning models, including PyTorch models for personalization and other business use cases. Build reusable training, evaluation, and inference workflows, analyze performance metrics, and collaborate with data, product, and engineering teams while documenting findings and trade-offs.

Requirements

Candidates should have hands-on machine learning experience, strong Python skills, and experience with PyTorch or a similar deep learning framework, along with a solid grasp of model training, validation, evaluation, and optimization. They should also be able to prepare data for machine learning, follow sound software engineering practices, take ownership, and communicate effectively; experience with recommendation systems, cloud tools, or production ML is especially valuable.

Skills

Machine Learning
Deep Learning
Python
PyTorch
Model Training
Model Evaluation
Data Analysis
Feature Preparation
Experimentation
Model Optimization
SQL
BigQuery
Spark
Dataflow
Airflow
Kubernetes

Benefits

Competitive Compensation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Python
PyTorch
Personalization
Recommendations
Search
Ranking
Relevance Systems
Model Training
Model Evaluation
Model Optimization
Data Analysis
Feature Preparation
Experimentation
Inference Workflows
GCP
BigQuery
SQL
Spark
Dataflow
Airflow
Kubernetes
Cloud-Based ML
Production ML
Version Control
Testing
Documentation
eCommerce

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