IT & data jobs in Canada

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

Counted Sep 20, 2026

Hiring at a glance

View jobs

Open jobs: 2,633
Employers: 1,273

Advertised starting pay

Average starting payCAD / year: $98,165Across 248 listings
Average starting payCAD / hour: $48.86Across 82 listings
Average starting payUSD / year: $118,463Across 56 listings
Average starting payUSD / hour: $57.29Across 11 listings

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

Where work happens

Remote: 5%125 listings
Hybrid: 39%1,025 listings
On-site: 56%1,463 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (76), Royal Bank of Canada (56), TD (46).

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

Save this search

Added 2 days ago
Business System Analyst I
Portfolio Aid Inc.
Toronto, ON
Full-time
Added 3 days ago
Business Data Analyst
Waterworth
Victoria, BC
$70,000 to $90,000 CAD / year
Full-time
…governments to achieve financial sustainability and make informed, data-driven decisions through robust modelling and compelling…
Added 3 days ago
Network Administrator
J&M Group
Calgary, AB
Full-time
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Senior Data Engineer
TechDoQuest
Toronto, ON
Contract
Lead data analysis, profiling, discovery, and migration assessment activities.
Added 3 days ago
Data Engineer
Millennium Software and Staffing Inc
Hope, BC
Contract
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Systems Analyst
Michael Page
Markham, ON
$70,000 to $80,000 CAD / year
Full-time
Added 3 days ago
Principal Data Analyst – Dead by Daylight
Behaviour Interactive
Montreal, QC
Full-time
Added 3 days ago
IT Help Desk Technician
Sterling Ridge Group, Inc
Lasalle, ON
Full-time
Added 3 days ago
IT Systems Analyst
Metro Vancouver
Burnaby, BC
Full-time
Added 3 days ago
Data Engineer - Capital Markets
Synechron
Mississauga, ON
$110,000 to $120,000 USD / year
Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 3 days ago
Data Scientist, Fraud Threat Management
Scotiabank
Toronto, ON
As a Data Scientist, you will bring a specialized data science background to cyber-fraud threat management. You will find and interpret rich data sources, merge data sources, and use data…
Added 9 days ago
Service Desk Analyst
Mattamy Homes
Calgary, AB · Edmonton, AB
Full-time
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Senior Data Scientist - Vehicle Reliability Engineering
General Motors
Markham, ON
Full-time
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Technical Project Manager
TSR Consulting
ON · Ontario, Canada
Full-time
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ETL Data engineer
Tekshapers
Markham, ON
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Minimum 8+ years’ of experience successfully leading ETL data reconciliation with expertise working with large-scale enterprise data models. • Solid grasp/experience with data technologies…
Added 11 days ago
Machine Learning Engineer, Marketing
Bell
Toronto, ON
Added 3 days ago
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
Contract
Lead data analysis, profiling, discovery, and migration assessment activities.
Added 3 days ago
Jr Data Engineer
Citylitics Inc.
Toronto, ON
$70,000 to $80,000 CAD / year
Full-time
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Guidewire Business System Analyst
Tekgence Inc
Toronto, ON
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Senior SAP Business Systems Analyst
Siri InfoSolutions, Inc.
ON · Ontario, Canada
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DATA ENGINEER
SIDRAM TECHNOLOGIES
Mississauga, ON
Full-time
Added 3 days ago
Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
Contract
We are looking for a Data Engineer with strong hands-on experience in Snowflake and dbt (Must Have).
Added 3 days ago
Data Scientist, Model Validation
Desjardins
Levis, QC · Montreal, QC
Full-time
As part of its activities, Desjardins Group uses a large number of data-driven quantitative models to support its product and service offer and to properly manage its risks, with the goal…
Added 10 days ago
ICQA Data Analyst, YEG2
Amazon
AB · Parkland County, Alberta
Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the…
Added 3 days ago
Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
Contract
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Data Engineer Tech Lead a long-term opportunity at Mississauga, ON (Hybrid).

Manulife

Senior Data Scientist

Toronto, ON, Canada

Pay: $129,400.00 CAD - $179,400.00 CAD
Job type: Full-time
Apply by: Sep 30, 2026
Experience: At least 3-5 years of hands-on experience in data science, AI/ML development, model validation, model risk management, or a related quantitative discipline.
Posting language: English
Posted: Sep 16, 2026

Apply About employer

Applications open in a new tab.

Original job description

About the Role

This is a high-impact opportunity for an experienced data scientist to help ensure AI models are reliable, fair, safe, and fit for purpose before they are deployed across Manulife. As part of the Global AI Model Validation and Governance (AIMVG) team, you will provide independent challenge, oversight, and validation of AI and machine learning models that support business decisions globally.

Working closely with model developers, business stakeholders, and governance teams, you will assess model performance, identify risks, and evaluate compliance with Manulife's Responsible AI principles and regulatory expectations.

Responsibilities

Independently validate AI/ML and GenAI models, assessing model design, performance, limitations, and risks.
Conduct model testing, benchmarking, sensitivity analysis, and other validation activities.
Evaluate whether AI models are reliable, fair, safe, explainable, and fit for their intended purpose.
Provide independent challenge and constructive feedback to model developers by identifying model weaknesses, limitations, assumptions, and risks, and recommending appropriate remediation actions
Review model documentation, assess model design and performance, and communicate validation findings through clear, evidence-based reports and recommendations.
Support model inventory management, model risk operations and AI governance processes.
Communicate complex technical concepts and validation findings to technical and non-technical stakeholders.
Contribute to the continuous improvement of AI governance, model risk management, and Responsible AI practices.
Mentor and support junior data scientists through technical coaching, knowledge sharing, and review of validation approaches and methodologies.

Required Qualifications

Master's degree or higher in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field.
At least 3-5 years of hands-on experience in data science, AI/ML development, model validation, model risk management, or a related quantitative discipline.
Experience developing, testing, validating, or overseeing AI/ML models in a production environment, including exposure to Generative AI.
Strong critical thinking skills and the ability to independently challenge assumptions and assess model risk.
Experience interpreting model performance metrics and conducting quantitative analysis.
Strong communication, documentation, and stakeholder management skills.

Preferred Qualifications

Experience with model validation, independent model review, model risk management, or AI governance.
Familiarity with Responsible AI concepts, including fairness, explainability, robustness, transparency, safety, and monitoring.
Experience evaluating Generative AI, LLMs, RAG systems, or agentic AI solutions.
Knowledge of AI governance and model risk regulatory expectations.
Experience developing validation frameworks, testing libraries, or automated assurance tooling.
Experience working in a global, cross-functional environment.

What We're Looking For

A strong critical thinker who is comfortable challenging assumptions and providing independent oversight.
A technically strong practitioner with experience building, testing, or validating AI models.
Someone passionate about Responsible AI and ensuring AI systems are trustworthy, reliable, and safe.
A collaborative team player who can translate complex technical concepts into practical business insights.

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$129,400.00 CAD - $179,400.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will independently validate AI, machine learning, and Generative AI models to ensure they are reliable, fair, and safe. They will provide oversight, identify model risks, and communicate findings to stakeholders while mentoring junior team members.

Requirements

Candidates must hold a Master's degree or higher in a quantitative field and possess 3-5 years of hands-on experience in data science or model validation. Strong critical thinking, communication skills, and experience with AI/ML production environments are required.

Skills

AI model validation
Machine learning
Generative AI
Model risk management
Quantitative analysis
Statistical modeling
Critical thinking
Stakeholder management
Model documentation
Benchmarking
Sensitivity analysis
Responsible AI
Explainability
Risk assessment
Technical coaching

Benefits

Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Data Science
AI Governance
Model Validation
Machine Learning
Generative AI
LLMs
RAG systems
Model Risk Management
Responsible AI
Quantitative Analysis
Statistics
Computer Science
Mathematics
Engineering
Benchmarking
Sensitivity Analysis
Model Performance
Risk Assessment
Stakeholder Management
Documentation
Mentorship
Financial Services
Compliance
Regulatory Expectations
Automated Assurance

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