IT & data jobs in Canada

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

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 2,701
Employers: 1,312

Advertised starting pay

Average starting payCAD / year: $99,585Across 255 listings
Average starting payCAD / hour: $47.93Across 85 listings
Average starting payUSD / year: $116,742Across 56 listings

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

Where work happens

Remote: 5%130 listings
Hybrid: 38%1,030 listings
On-site: 56%1,521 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (56), Royal Bank of Canada (48), TD (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 15 days ago
Business System Analyst Co-op / Intern (Winter 2027)
TD
Toronto, ON
Full-time
Added 15 days ago
Analyste fonctionnel SAP IBP MM – SAP IBP MM Functional Analyst
Groupe Touchette
Hamilton, ON · Greater Hamilton (Burlington) Metropolitan Area
Full-time
Added 15 days ago
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Montreal, QC
$91,375 to $129,000 CAD / year
Full-time
Added 15 days ago
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Toronto, ON
$91,375 to $129,000 CAD / year
Full-time
Added 15 days ago
Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
Contract
We are looking for Data Modeler with exp in Snowflake and P&C (Property and casualty) Insurance domain who can work onsite at client location.
Added 15 days ago
Analyste Fonctionnel Technologie RH (SuccessFactor
CGI
Montreal, QC
Full-time
Added 15 days ago
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Calgary, AB
$91,375 to $129,000 CAD / year
Full-time
Added 15 days ago
Data Engineer
J&M Group
Brampton, ON
Full-time
5+ years in Data Engineering, Data Warehousing, or BI.
Added 15 days ago
Information Systems Analyst– 4-month Internship/Coop (Winter 2027)
Intact
Toronto, ON
Internship
Added 15 days ago
Information Systems Analyst– 4-month Internship/Coop (Winter 2027)
Intact
Toronto, ON
Internship
Added 15 days ago
Data Modeler
Kaizen Technologies
Toronto, ON
$45 to $50 CAD / hour
Contract
We are seeking a Data Modeler to design and govern the semantic layer and core financial data models for our enterprise analytics platform.
Added 15 days ago
Specialist, Systems administrator Supply Chain
Air Transat
Montreal, QC
Full-time
Added 15 days ago
Senior Data Analyst I, Product
Mistplay
Montreal, QC
Full-time
Added 15 days ago
Data Engineer
J&M Group
Toronto, ON
Full-time
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
Added 15 days ago
Senior Systems Analyst (Senior Data Engineer and Analyst)
British Columbia Institute of Technology
Burnaby, BC
$84,685 to $112,200 CAD / year
Full-time
…initiatives. This position plays a key role as an experienced senior data engineer and analyst to design, develop, and support enterprise-scale data platforms and…
Added 15 days ago
Big Data/ Python Data Engineer (Hadoop Ecosystem)
Q1 Technologies, Inc.
Toronto, ON
$60 to $70 CAD / hour
Contract
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
Added 15 days ago
AWS Data Engineer – Data Warehouse & Netezza Migration
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Resource have strong data warehouse technical knowledge.
Added 15 days ago
SQL Database Administrator
Pacer Group
Brampton, ON
$60 to $62 CAD / hour
Contract
Primary Skills: Azure SQL MI, SQL Server DBA, Database Developer, T-SQL, SSIS, SSRS, Azure Data Factory, Always On, Performance Tuning, Azure SQL Managed Instance, Java, Spring Boot, REST…
Added 20 days ago
Data Engineer
CompuMed Solutions
Breslau, ON
Full-time
We seek a highly skilled Data Engineer with expertise in the Microsoft data stack to join our dynamic team. The ideal candidate will have strong data modeling, data visualization, and…
Added 15 days ago
Business Systems Analyst (BSA)
Apptoza Inc.
Toronto, ON
Contract
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Montreal, QC
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Auditeur TI Sénior
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Montreal, QC
Full-time
Added 15 days ago
Team Lead Data Scientist - Professional Services Consultancy - $160K-$190K Base
Saragossa
Toronto, ON
$160,000 to $190,000 CAD / year
Full-time
You stop being the person who builds the models and start being the person who shapes how data science gets done.
Added 15 days ago
Senior (Lead) Data Engineer - Leading Canadian Financial Institution - $125,000-$140,000
Saragossa
Toronto, ON
Full-time
This is your chance to join the number one financial institution in Canada and work at the center of how they move and manage data at scale.
Added 15 days ago
Cloud Data Engineer
J&M Group
Toronto, ON
Full-time
Resource have strong data warehouse technical knowledge.

RBC

Data Scientist, AI Model Risk

Vancouver, BC, Canada

Job type: Full-time
Apply by: Sep 29, 2026
Posting language: English
Posted: Sep 8, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

What is the opportunity?

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking to voice assistants in customer service. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC's Enterprise Model Risk Management (RBC Group Risk Management) is tasked with assessing, and managing the model risk that may arise from these AI capabilities.

The AI validation team uses machine learning, statistical, and computational strategies to assess model risk. In doing so, RBC is able to identify model weaknesses early and enhance the reliability of production models across all lines of business.

What will you do?

Application: You will have the opportunity to collaborate with teams across a wide variety of business functions, such as the following: Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources.
Technical Scope: Your primary focus will be on validation of LLM-based applications and agentic AI systems. This role may also involve validating traditional machine learning models, including classification, regression, anomaly detection, natural language processing, reinforcement learning, and recommendation systems.
Validation: Your role is to challenge models and identify risks associated with their use – both conceptually and empirically. To that end, you will explore modelling considerations such as conceptual soundness, metric reproducibility & stability, benchmarking, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools.
Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you've learned to real-world problems, develop reusable software packages, and share your insights with others.
IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.

What do you need to succeed?

Must-have

Passionate about learning and staying up-to-date with research and technology
Strong communication and interpersonal skills
Progress towards a PhD or Master's degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field
Proficient programming skills in Python; you should already be comfortable with writing research experiments and be willing to learn how to write clean code.
Familiarity with popular LLMs and agentic frameworks.

Nice-to-have

A risk-oriented mindset: You are curious about the "how" as well as the "why"
Publication or prior research experience (applied or fundamental)
Experience with version control systems
Comfortable with command line tools
Familiarity with popular machine learning frameworks and libraries

What's in it for you?

As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.

This opportunity will provide you with:

Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work, make a difference and lasting impact
Continuous learning and flexibility to work on projects that you are passionate about
Leaders who support your development through coaching and managing opportunities

#TECHPJ

Job Skills

Artificial Intelligence (AI), Client Counseling, Communication, Critical Thinking, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Risk, Python (Programming Language), Quantitative Methods, Risk Management

Additional Job Details

Address:

885 GEORGIA ST W:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-24

Application Deadline:

2026-09-29

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

You will validate LLM-based applications and agentic AI systems to identify conceptual and empirical risks. Additionally, you will collaborate with cross-functional stakeholders to establish best practices for MLOps and IT infrastructure.

Requirements

Candidates must be pursuing a Master's or PhD in a quantitative field and possess strong Python programming skills. A risk-oriented mindset and familiarity with LLMs and agentic frameworks are highly valued.

Skills

Artificial Intelligence
Python
Machine Learning
LLM
Agentic AI
Statistical Analysis
Model Risk Management
Data Science
Risk Assessment
Communication
Version Control
MLOps
Quantitative Finance
Econometrics
Applied Mathematics
Computer Science

Benefits

Continuous learning
Coaching and management opportunities
Collaborative work environment

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Model Risk Management
LLM
Agentic AI
Python
Machine Learning
Statistics
Computer Science
Applied Mathematics
Econometrics
Quantitative Finance
MLOps
Risk Assessment
Data Science
Version Control
Natural Language Processing
Reinforcement Learning
Anomaly Detection
Regression
Classification
Recommendation Systems
Explainability
Uncertainty Quantification
Fairness
Privacy
Banking
Cybersecurity
Fraud Management
Anti-Money Laundering
Insurance

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