IT & data jobs in Canada

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

Counted Sep 25, 2026

Hiring at a glance

View jobs

Open jobs: 2,704
Employers: 1,322

Advertised starting pay

Average starting payCAD / year: $98,582Across 258 listings
Average starting payCAD / hour: $48.47Across 91 listings
Average starting payUSD / year: $116,838Across 55 listings

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

Where work happens

Remote: 5%132 listings
Hybrid: 38%1,039 listings
On-site: 56%1,517 listings

Not specified: 1% (16 listings)

Employers hiring include RBC (55), Royal Bank of Canada (48), TD (44).

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 day ago
Sr. Data Scientist, Business Analytics
Javelin Venture Partners
ON · Ontario, Canada
Full-time
Added 1 day ago
Senior Data Analyst
Tamanna Technology
Toronto, ON · Greater Toronto Area, Canada
Full-time
Proficiency in SAS Base, SAS SQL, macros, and data processing.
Added 1 day ago
Network Security Engineer – Palo Alto @ Calgary, Canada – onsite
BURGEON IT SERVICES
Calgary, AB
Contract
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Senior Data Analyst
Alberta Innovates / InnoTech Alberta
Edmonton, AB
The Senior Data Analyst is an opportunity to be part of a professional, purpose-driven team that values collaboration, innovation, accountability, and continuous improvement. Most…
Added 1 day ago
IT Support Desk Analyst
Durham College
Oshawa, ON
Added 1 day ago
Service Desk Analyst
Anone Inc.
Montreal, QC
Contract
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Analyste des systèmes d’affaires/Business Systems Analyst
McKesson
Montreal, QC
Full-time
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Data Engineer
Confiar Services
Toronto, ON
$55 to $60 CAD / hour
Contract
We are seeking a Data Engineer with strong expertise in Azure Databricks, Data Modeling, and Data Lineage to build scalable and standardized enterprise data lineage solutions.
Added 1 day ago
Bilingual Business Systems Analyst - D365
Telecon
Vaughan, ON
Full-time
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Data Engineer
Tata Consultancy Services
Montreal, QC
Full-time
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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 day ago
Senior System Administrator
Robert Half
Newmarket, ON
$120,000 to $150,000 CAD / year
Full-time
Added 1 day ago
Intermediate Application Support Analyst
eHealth Saskatchewan
SK · Saskatchewan
$41.93 to $51.04 CAD / hour
Full-time
Added 1 day ago
Cybersecurity Analyst – Tier 2
Vanderlande
Vancouver, BC
Full-time
Added 1 day ago
Software Development Manager, Platform Engineering
Autodesk
Toronto, ON · Greater Toronto Area, Canada
Full-time
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Network Security Engineer with Palo Alto Firewall Experience
BURGEON IT SERVICES
Calgary, AB
Contract
Added 1 day ago
Software Development Manager, Platform Engineering
Autodesk
Montreal, QC
Full-time
Added 1 day ago
Data Engineer, Early Career - 2027 (CAN)
Amazon
Toronto, ON
Added 1 day ago
Intermediate ITAM Governance Analyst / Business Systems Analyst
Insight Global
Toronto, ON
$52 to $57 CAD / hour
Contract
Added 1 day ago
Data Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
$70 to $80 CAD / hour
Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 1 day ago
Business Systems Analyst/Developer
Richards Group
Mississauga, ON
Full-time
Added 1 day ago
Systems Analyst D365 F&O
isgSearch
Toronto, ON · Greater Toronto Area, Canada
Full-time
Added 1 day ago
Financial Data Analyst
IS2 Workforce Solutions
Abbotsford, BC
$75,000 to $90,000 CAD / year
Full-time
Are you a finance professional who enjoys turning complex data into clear business insights? We’re looking for a Financial Data Analyst to join our clients team in Abbotsford, British…
Added 1 day ago
Business Systems Administrator
eSentire
ON
Added 1 day ago
Cybersecurity Specialist
CAA Niagara Talent Management Team
Thorold, ON

DataVisor

Senior Data Scientist - Fraud Detection

Calgary, AB, Canada

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

Apply About employer

Applications open in a new tab.

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, and apply agentic AI to automate analytical 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, familiarity with large-scale data tools and cloud platforms, an investigative mindset, and excellent communication skills.

Skills

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

Benefits

PTO
Stock Options
Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Fraud Detection
Cybersecurity
Machine Learning
Logistic Regression
Gradient Boosting
Python
SQL
PySpark
Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Fraud Investigation
Pattern Synthesis
Hypothesis Testing
Production ML Lifecycle
Large-Scale Data Processing
Risk Management
Anti-Money Laundering
Technical Reporting
Fraud Trend Reports

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