Data scientist jobs in Canada (945 jobs)

Find data scientist jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 7, 2026

Hiring at a glance

View jobs

Open jobs: 945
Employers: 458

Advertised starting pay

Average starting payCAD / year: $125,131Across 97 listings
Average starting payCAD / hour: $70.77Across 40 listings

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

Where work happens

Remote: 7%66 listings
Hybrid: 48%453 listings
On-site: 45%425 listings

Not specified: <1% (1 listing)

Employers hiring include TD (43), National Bank of Canada (20), Desjardins (14).

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 Canada

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Added 3 months ago
ES
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
- Full-time
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 2 months ago
R
Senior Machine Learning Engineer
Remitly
Burnaby, BC
- Full-time
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
Added 2 months ago
4E
Senior Data Scientist
407 ETR
Woodbridge, ON
- Full-time
…on pricing, marketing and customer travel behavior. The Sr. Data Scientist will assist the Director of Data Analytics and other key stakeholders to bring actionable data driven solutions to…
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Added 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
Added 3 months ago
AL
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
- $175,000 to $300,000 CAD / year
- Full-time
…patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with…
Added 3 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Added 3 months ago
IC
AI / Machine Learning Engineer
Infoya Career Connect
Toronto, ON · Waterloo, ON
- $85,000 to $105,000 CAD / year
- Full-time
Added 3 months ago
TK
Senior Data Architect
The Kraft Heinz Company
Toronto, ON
- Full-time
This position implements and maintains domain specific data architecture at Kraft Heinz, ensuring assigned data assets are properly organized, structured, and secured. Collaborate with…
Added 3 months ago
O
Machine Learning Engineer
Opendoor
Toronto, ON
- Full-time
Added 3 months ago
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
Added 3 months ago
SG
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 3 months ago
SG
Staff Data Scientist
SCIENTIFIC GAMES
Montreal, QC
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 3 months ago
ES
Data Architect
Euna Solutions
ON · Oakville, Ontario
- Contract
Euna Solutions is building a modern data foundation, and we need the architect who will define it. You'll set the reference architecture, engineering patterns, and governance posture for an…
Added 2 months ago
Data Scientist, Fraud
Stripe
Toronto, ON
Added 3 months ago
PI
Lead Data Scientist
Princeton IT Services, Inc
Toronto, ON
- Full-time
…transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions,…
Added 3 months ago
IT
Senior Data Scientist (Applied AI & Analytics)
International Test Pilots School
London, ON
- Full-time
Job Title: Senior Data Scientist (Applied AI & Analytics)
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Added 4 months ago
L
Data Scientist
Larus
Ottawa, Ontario
- Full-time
Added 3 months ago
KS
Data Scientist / Senior Data Scientist - Sports Modeling & Live Betting
Kero Sports
Remote, Canada
- $100,000 to $160,000 USD / year
- Full-time
- Remote
Our systems ingest live play-by-play sports data and turn it into in-game betting markets that update continuously throughout a match or game. We focus on micro markets, contextual markets,…

Remitly

Senior Machine Learning Engineer

Burnaby, BC, Canada

The starting base salary range for this position is $168,000-$210,000. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: The starting base salary range for this position is $168,000-$210,000.
Job type: Full-time
Posting language: English
Posted: Aug 31, 2026

Original job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money - we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career - we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

As a Senior Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning systems, frameworks, and services that power Remitly's next generation of products and operations. We work horizontally across domains at Remitly - Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, etc.

We are looking for an experienced Machine Learning Engineer to build large scale systems that propel our next phase of growth.

You Will:

Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model deployment.
Design, build, and scale feature pipelines for batch and real-time ML applications.
Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems.
Optimize models and pipelines using MLOps best practices: automated retraining, drift detection, CI/CD, monitoring, observability.
Mentor and lead other engineers: champion design reviews, technical discussions, and maintain a high bar code quality.

You Have:

Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
8+ years delivering Machine Learning systems in production.
Strong programming skills in Python, Go, Scala or a similar language.
Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, numpy).
Experience working with major cloud platforms (AWS, GCP, or Azure).
Experience with one or more of Deep Learning algorithms, Large Language Models, Casual Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.

Compensation Details. The starting base salary range for this position is $168,000-$210,000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits

Four weeks vacation
Health Benefits
Mental Health & Family Forming Benefits
RRSP plan with company match
Employee Stock Purchase Plan (ESPP)
Life Insurance & Disability
Continuing education

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply About employer

More about this job

Responsibilities

Lead the end-to-end machine learning lifecycle, including data preparation, model training, and deployment. Collaborate with cross-functional teams to build and scale feature pipelines and optimize models using MLOps best practices.

Requirements

Requires a degree in Computer Science, Data Science, Statistics, or Mathematics and 8+ years of experience delivering production machine learning systems. Candidates must possess strong programming skills in Python, Go, or Scala and hands-on experience with major cloud platforms and ML frameworks.

Skills

Machine learning
Python
Go
Scala
PyTorch
Scikit-learn
Numpy
AWS
GCP
Azure
MLOps
CI/CD
Feature pipelines
Deep learning
Natural language processing
Large language models

Benefits

Four weeks vacation
Health benefits
Mental health benefits
Family forming benefits
RRSP plan with company match
Employee stock purchase plan
Life insurance
Disability insurance
Continuing education

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
MLOps
Python
Go
Scala
PyTorch
Scikit-learn
Numpy
AWS
GCP
Azure
Deep Learning
Large Language Models
Natural Language Processing
Knowledge Graphs
Casual Inference
CI/CD
Feature Pipelines
Data Science
Statistics
Mathematics
Computer Science
Financial Services
Model Deployment
Monitoring
Observability
Software Engineering
Scalability
Production Systems

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