IT & data jobs in Canada

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Added 13 days ago
AW
Data Analyst III
Agilus Work Solutions
Calgary, AB
- Contract
Agilus by Synergie is recruiting for a Data Analyst III in the Oil and Gas Sector in Calgary, Alberta.
Added 13 days ago
YU
Systems Administrator
Yorkville University
Toronto, ON
- Full-time
Added 13 days ago
Senior Financial Systems Analyst, Governance
Trans Mountain
Calgary, AB
…Financial Systems Analyst, Governance you will lead master data, vendor maintenance, and financial systems control processes to support strong data quality, compliance, and operational…
Added 13 days ago
FH
System Administrator
Fairmont Hotels & Resorts
Toronto, ON
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 13 days ago
KS
Data Engineer
Kumaran Systems
Toronto, ON
- Full-time
Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).
Added 13 days ago
KS
Business Systems Analyst
Kumaran Systems
Toronto, ON
- Full-time
Cross-border and domestic payment processing
Added 13 days ago
HH
Business Systems Analyst
Halton Healthcare
Oakville, ON
- Full-time
Hours: Monday to Friday; 8 hour day shifts; 0800-1600
Added 13 days ago
A
RQ00748 – Intermediate Systems Administrator\Operations Support Specialist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
Manager Notes Must Haves: (Certifications are highly preferred)
Added 13 days ago
C
Lead Data Engineer
CGI
Halifax, NS
- Full-time
The Sr/Lead Data Engineer is someone who has the skills to lead the engineering team, including strong communication skills and ability to be self sufficient
Added 14 days ago
C
Data Analyst co-op
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 14 days ago
K
Senior Business Systems Analyst – Hedge Accounting
Kelly
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Location: Toronto, Ontario (Hybrid, 4 days per week in office)
Added 14 days 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 14 days ago
T
Senior Data Engineer
Taiv
Winnipeg, MB
- Full-time
We are looking for a Senior Data Engineer to join our growing team!
Added 14 days ago
A
System Administrator
AccorHotel
Toronto, ON
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 14 days 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 14 days ago
YU
Systems Administrator
Yorkville University
Toronto, ON
- Full-time
Added 14 days ago
C
Data Analyst co-op
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 14 days ago
SM
RQ11680 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 14 days ago
SM
RQ11681 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 14 days ago
TI
Data Architect / Data Modeller
Teckhorizon Inc
Toronto, ON
- Contract
Our Client is looking for an experienced Senior Data Architect / Data Modeller with 8+ years of experience in enterprise data architecture, data modelling, SQL, and database design to…
Added 14 days ago
IC
Business & Systems Consultant
Infotek Consulting Inc.
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Gather, document, and maintain business and technical requirements, epics, user stories, data mappings, and project documentation.
Added 14 days ago
TI
Big Data Developer
Tekgence Inc
Mississauga, ON
- Full-time
Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently. Write clean, reusable, and optimized code in Python for data…
Added 14 days ago
SL
IT Support Technician (Level 1/2)
Scio Logica
Halifax, NS
- Full-time
Added 14 days ago
T
Data Scientist III
TD
Toronto, ON
- Full-time
The Analytics, Insights & Artificial Intelligence (AI2) team delivers data- and analytics-driven insights that support informed decision-making and strategic planning across the…
Added 14 days 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…

DataVisor

Senior Data Scientist - Fraud Detection

Calgary, AB, Canada

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

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Apr 25, 2027
Posting language: English
Posted: Oct 2, 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 on LinkedIn About employer

More about this job

Responsibilities

Develop, productionize, and monitor fraud detection models and features using large-scale behavioral, device, network, and transaction data, while applying agentic AI to automate analytical workflows. Lead investigations into complex 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 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
Feature Engineering
Fraud Investigation
Python
SQL
PySpark
Apache Spark
Hadoop
Cloud Platforms
Agentic AI
Data Analysis
Pattern Recognition
Hypothesis Testing
Technical Reporting
Communication

Benefits

Paid Time Off
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
Apache Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Fraud Investigation
Pattern Synthesis
Hypothesis Testing
Production Machine Learning
Large-Scale Data Processing
Imbalanced Datasets
Risk Management
Fintech
Consumer Payments
Banking
SaaS
Anti-Money Laundering

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IT & data jobs in Canada

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RQ00748 – Intermediate Systems Administrator\Operations Support Specialist

Lead Data Engineer

Data Analyst co-op

Senior Business Systems Analyst – Hedge Accounting