IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Nov 2, 2026

Hiring at a glance

View jobs

Open jobs: 4,468
Employers: 1,978

Advertised starting pay

Average starting payCAD / year: $96,132Across 399 listings
Average starting payCAD / hour: $50.08Across 298 listings
Average starting payUSD / year: $121,177Across 59 listings
Average starting payUSD / hour: $48.05Across 18 listings

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

Where work happens

Remote: 4%186 listings
Hybrid: 38%1,702 listings
On-site: 57%2,566 listings

Not specified: <1% (14 listings)

Employers hiring include TD (79), S M Software Solutions Inc (64), J&M Group (47).

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

IT & data jobs in Canada

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Added 1 month ago
Business System Analyst
Capgemini
Toronto, ON
Added 3 months ago
SC
Chef de Projet Technique – Ingénierie Aérospatiale (Intermédiaire)
SII Canada
Montreal, QC
- Full-time
Added 3 months ago
VB
Analyste Fonctionnel
Vaco by Highspring
Montreal, QC
- 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
HP
ROV Technical Support Representative
Halma plc
Kitchener, ON · Deep Trekker HQ
- Full-time
Added 2 months ago
L
Senior Technical Project Manager - Cybersecurity
LifeWorks
Winnipeg, MB · Toronto, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
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 2 months ago
M
Administrateur de bases de données l Database Administrator
Medisca
Montreal, QC
- Full-time
Added 2 months ago
Business Systems Analyst (Enterprise Data)
First West
Langley (District), BC · Langley, BC
We are currently seeking a Business Systems Analyst (Enterprise Data) to join our team.
Added 3 months ago
EL
Fraud Data Scientist
EnStream LP
Toronto, ON
- Full-time
Reports to: Head of Applied AI & Data Engineering
Added 3 months ago
TG
Business Systems Analyst
TMX Group
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
Added 3 months ago
G
Analyste de données / Data Scientist
Genetec
Montreal, QC
- Full-time
Added 2 months ago
Data Analyst
DRW
Montreal, QC
Added 3 months ago
A
Software Engineering Manager II
Article
Vancouver, BC
- $170,000 to $190,000 CAD / year
- Full-time
Added 2 months ago
Intermediate Data Engineer
Northland Properties
Vancouver, BC
Added 1 month ago
MI
Senior Associate, IT, Application Support Analyst (Core Banking)
MUFG Investor Services
Toronto, ON
- $91,000 to $110,000 CAD / year
- Full-time
Added 2 months ago
T
Senior Information Security Analyst (Secure Code Review)
TD
Toronto, ON
- Full-time
Added 2 months ago
M
IT Support Technician
MNP
Montreal, QC
- Full-time
Added 2 months ago
P
Bilingual Software Tester (CYARA Contact Centre and AWS Connect)
PLATO
Remote, Canada
- $45 to $65 CAD / hour
- Contract
- Remote
Added 1 month ago
Technical Project Manager
PowerCo SE
St. Thomas, ON
Added 2 months ago
AW
Business Systems Manager - NetSuite
Arctic Wolf
Waterloo, ON · Office - CAN - Ontario, Waterloo
- $60,000 to $181,000 CAD / year
- Full-time
Added 2 months ago
A
Digital - Senior Data Engineer/Data Engineer, Digital Technology
Aritzia
Vancouver, BC
- Full-time
Added 1 month ago
PLM Data Analyst
Capgemini
Montreal, QC
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite
Mont-Royal, QC
- Full-time
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time

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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