Data scientist jobs in Canada (928 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: 928
Employers: 452

Advertised starting pay

Average starting payCAD / year: $125,131Across 97 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%66 listings
Hybrid: 48%446 listings
On-site: 45%415 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 2 months ago
E
Machine Learning Engineer
eBay
Toronto, ON
- Full-time
Added 2 months ago
G
Machine Learning Engineer
GPTZero
Toronto, ON
- $120,000 to $160,000 CAD / year
- Full-time
Added 6 months ago
GM
Data Scientist
Gibraltar Mine
McLeese Lake, BC
- Full-time
Added 1 month ago
Q
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
- Full-time
Added 2 months ago
I
Data Architect
ICES
Toronto, ON
- Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…
Added 2 months ago
PI
Senior Data Scientist
Palitronica Inc.
Waterloo, ON
- $125,000 to $165,000 CAD / year
- Full-time
Palitronica is seeking a Senior Data Scientist to provide technical leadership for machine learning on complex physical measurement data. Our primary challenges are classical and…
Added 2 months ago
PI
Data scientist
Palitronica Inc.
Waterloo, ON
- $100,000 to $125,000 CAD / year
- Full-time
Palitronica is seeking a Data Scientist who enjoys finding meaningful structure in complex, real-world measurement data. You will work mainly with classical and statistical machine…
Added 2 months ago
UT
Senior Machine Learning Engineer
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Added 2 months ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- 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 2 months ago
SG
Senior Data Scientist
Scientific Games
Toronto, ON · HR Toronto - Canada
- 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
X
Data Scientist
Xsolla
Canada
- Full-time
We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments,…
Added 2 months ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Vancouver, BC
- Full-time
Added 2 months ago
Economic Data Scientist
Government of Alberta
Edmonton, AB
Added 2 months ago
F
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
- Full-time
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
Added 3 months ago
S
Data Architect - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 2 months ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative…
Added 2 months ago
CG
Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation
Toronto, ON
- Full-time
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 2 months ago
SM
Senior Data Scientist
Spin Master
Toronto, ON
- Full-time
Added 2 months ago
WT
Sr Data Scientist, Finance, Brokerage & Market Risk
Wealthsimple Technologies
Remote, Canada
- $151,000 to $189,000 CAD / year
- Full-time
- Remote
Added 2 months ago
M
Data Architect - Integration
Maarut
Quebec, QC
- Contract
is seeking an integrator-level data architect who ensures the consistency of
Added 3 months ago
EL
Fraud Data Scientist
EnStream LP
Toronto, ON
- Full-time
Reports to: Head of Applied AI & Data Engineering

EnStream LP

Fraud Data Scientist

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Jan 12, 2027
Posting language: English
Posted: Jul 16, 2026

Original job description

Job Title: Fraud Data Scientist

Department: Data and AI

Type: Full-Time

Reports to: Head of Applied AI & Data Engineering

This role requires a minimum of four (4) days per week working onsite at EnStream’s head office in Toronto; this requirement may be changed at management’s discretion.

Who is EnStream

EnStream is a leader in secure digital identity and mobile data intelligence, working to advance the future of digital trust in Canada. We build innovative data-driven models that enhance the integrity, reliability, and safety of digital identity ecosystems. Our latest initiative leverages advanced data science, machine learning, and deep learning to further grow and sustain digital trust across Canada.

Our mission is to empower frictionless trust in every interaction. EnStream is dedicated to increasing trust and convenience for Canadians using real-life, verified identities and network data held by trusted telco networks. At EnStream, every team member plays a critical role in shaping our strategy and delivering meaningful impact across industries.

About the Role

We’re accelerating two high-priority fraud detection and prevention initiatives and need a hands-on Fraud Data Scientist. This role sits at the intersection of investigative analysis, applied data science, and cross-functional communication - turning raw fraud signals into actionable intelligence for internal teams, partners, and the broader digital trust roadmap. You will be running on hypercare support, creating fraud intelligence reporting, and building the analytical foundation for ongoing fraud protection R&D.

What You’ll Do

Serve as front-line analytical support during hypercare for two new fraud protection initiatives, responding directly to client and external partner requests, such as detailed fraud case analysis
Triage, investigate, and resolve incoming fraud-related queries within defined SLAs during the critical post-launch period
Analyze fraud patterns across categories and typologies to identify emerging trends, gaps in coverage, and opportunities for improvements of fraud detection capabilities
Translate analytical findings into concrete recommendations that inform R&D priorities
Generate and disseminate fraud intelligence reports to external data-sharing partners on a recurring and ad hoc basis while ensuring that reports are accurate, timely, and actionable for external partners with varying levels of technical sophistication.
Build and maintain fraud data products (datasets, dashboards, tools) that support ongoing external partner operations and future roadmap of digital trust products
Partner cross-functionally with engineering, product, and partner-facing teams to ensure fraud data products are accurate, scalable, and production-ready.

What You Bring

Must-Have Skills & Experience

Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field (or equivalent practical experience)
Demonstrated experience in fraud analytics, risk analytics, or a related investigative/adversarial data domain.
Strong SQL skills and proficiency in a data science programming language (Python)
Experience analyzing large, messy, real-world datasets to identify patterns and anomalies
Ability to communicate technical findings clearly to both technical and non-technical audiences, including external partners
Comfort operating in an ambiguous, fast-moving environment with evolving requirements

Preferred Qualification

Experience with entity resolution, identity graph analysis
Prior experience supporting a product launch or hypercare period
Experience building or maintaining data pipelines, feature stores, or ML-based detection models
Background in financial crimes, trust & safety, cybersecurity, or adjacent risk domains

Why Join Us?

Contribute to a national-scale initiative defining the future of digital trust in Canada
Work on cutting-edge fraud detection applications using real-world identity data
Collaborate with a highly skilled, cross-functional team

Apply About employer

More about this job

Responsibilities

The role involves providing front-line analytical support for fraud protection initiatives and investigating fraud patterns to identify emerging trends. You will create fraud intelligence reports and build data products to support external partners and the digital trust roadmap.

Requirements

Candidates must have a bachelor's degree in a quantitative field and demonstrated experience in fraud or risk analytics using SQL and Python. Proficiency in analyzing large, messy datasets and communicating technical findings to diverse audiences is required.

Skills

Fraud Analytics
Risk Analytics
SQL
Python
Data Analysis
Machine Learning
Deep Learning
Entity Resolution
Identity Graph Analysis
Data Pipeline Construction
Feature Stores
Technical Communication
Fraud Case Analysis
Reporting
Triage
Investigative Analysis

Visa sponsorship

Not detected in the job text

Keywords

Fraud Detection
Data Science
Machine Learning
Deep Learning
SQL
Python
Entity Resolution
Identity Graph
Digital Identity
Risk Analytics
Cybersecurity
Financial Crimes
Trust & Safety
Data Pipelines
Feature Stores
Hypercare
Data Intelligence
Toronto
EnStream
Digital Trust

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