Data scientist jobs in Canada (923 jobs)

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

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 923
Employers: 451

Advertised starting pay

Average starting payCAD / year: $125,601Across 96 listings
Average starting payCAD / hour: $71.22Across 38 listings

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

Where work happens

Remote: 7%65 listings
Hybrid: 48%443 listings
On-site: 45%414 listings

Not specified: <1% (1 listing)

Employers hiring include TD (42), 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 1 month ago
AC
Data Scientist
Allstate Canada
Toronto, ON
- Full-time
Added 1 month ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Added 1 month ago
Data Scientist, AI & Machine Learning
Scotiabank
Toronto, ON
Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Global Artificial Intelligence and Machine Learning team. This role is central to building and deploying…
Added 1 month ago
O
Data Scientist, ONCAP - 12 Month Contract
Onex
Toronto, ON
- $45 to $60 CAD / hour
- Full-time
Added 1 month ago
PG
Big Data Developer
Pacer Group
Mississauga, ON
- $125,000 to $130,000 CAD / year
- Contract
Develop and maintain scalable data pipelines using PySpark and Spark SQL for large datasets.
Added 1 month ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Added 1 month ago
UR
Machine Learning Engineer, Lyft Business & Ads
Urban Ridge Supplies
Toronto, ON
- Full-time
Added 1 month ago
UR
Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…models into production, whether your title says ML engineer or data scientist,…
Added 1 month ago
W
Sr Product Data Scientist
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Calgary, AB
- $120,000 to $150,000 CAD / year
- Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Added 1 month ago
T
Sr. Data Scientist, Business Analytics
Thumbtack
Remote, Canada
- Full-time
- Remote
Added 1 month ago
NB
Senior AI Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Data scientist in the
Added 1 month ago
TC
Big Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 1 month ago
JG
DATA ARCHITECT
J&M Group
Toronto, ON
- Contract
We are looking for a Data Architect with 8 10 years of Dynamics 365 CE/CRM experience, strong Azure integration, MuleSoft, APIs, SQL, Power Platform, and CRM architecture skills, plus…
Added 1 month ago
CA
Quantitative Analyst
Crédit Agricole CIB
Montreal, QC
- Full-time
Added 1 month ago
BG
Data Architect
Brandt Group of Companies
Regina, SK
- Full-time
Brandt is seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, implementing, and optimizing data…
Added 1 month ago
M
Lead Data Scientist (FBL/RCA)
McKesson
Mississauga, ON
- Full-time
Added 1 month ago
FB
Senior Data Architect
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
As Senior Data Architect, you will own and evolve the entire Data Analytics platform - the core engine that turns c
Added 1 month ago
G
Data Architect
GIRO
Montreal, QC
- Full-time

DataVisor

Senior Data Scientist - Fraud Detection

Toronto, ON, Canada

$120,000 to $150,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Mar 22, 2027
Posting language: English
Posted: Sep 23, 2026

Original job description

About DataVisor

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

We are looking for a Senior-Level Data Scientist to join our Fraud Detection team - someone equally comfortable building production ML models and getting hands-on with individual fraud cases. This is a dual-track role: you'll develop the machine learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level findings into trend reports and detection improvements. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real, visible impact in the fight against fraud.

Key Responsibilities

Machine Learning & Model Development

End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring
Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform
Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows

Live Fraud Investigation & Reporting

Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling
Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders
Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on

Requirements

Qualifications

Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research)
Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.)
Hands-on experience with the machine learning lifecycle in a production environment
Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases - not just building and monitoring models
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure)
Excellent communication skills - able to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences, including customers and executives
Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team

Benefits

Base salary range: $120,000-$150,000, commensurate with experience
PTO, Stock Options, Health Benefits

Apply About employer

More about this job

Responsibilities

Develop, productionize, and monitor fraud detection models and features using large-scale, complex data, while applying agentic AI to automate analysis and investigation workflows. Lead investigations into fraud cases, reconstruct attacker behavior, and produce evidence-based case studies and customer trend reports.

Requirements

Requires a master's or PhD in a quantitative field and at least three years of applied experience in fraud detection, cybersecurity, or a related adversarial risk domain. Candidates need production machine learning experience, strong Python and SQL skills, large-scale data and cloud platform familiarity, an investigative mindset, and excellent communication skills.

Skills

Fraud Detection
Machine Learning
Fraud Investigation
Feature Engineering
Python
SQL
PySpark
Apache Spark
Large-Scale Data Processing
Agentic AI
Data Analysis
Pattern Recognition
Hypothesis Testing
Technical Reporting
Cloud Platforms
Device Intelligence

Benefits

Paid Time Off
Stock Options
Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Fraud Detection
Fraud Risk
Cybersecurity
Machine Learning
Logistic Regression
Gradient Boosting
Feature Engineering
Python
SQL
PySpark
Apache Spark
Hadoop
AWS
Google Cloud Platform
Microsoft Azure
Agentic AI
Automation
Device Intelligence
Network Graphs
Transaction Records
Large-Scale Data Processing
Imbalanced Datasets
Fraud Investigation
Pattern Synthesis
Hypothesis Testing
Attacker Behavior
Technical Reporting
Trend Reporting
Fintech
Anti-Money Laundering

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