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 10 days ago
Senior Machine Learning Engineer
Royal Bank of Canada
Calgary, AB · Toronto, ON
Full-time
Added 10 days ago
Data Analyst - Expert
Raise
Toronto, ON
Full-time
We at Raise are hiring a Data Analyst - Expert for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…
Added 10 days ago
Sr.Data Engineer
ITC Infotech
Vancouver, BC
$120,000 to $130,000 CAD / year
Full-time
Added 10 days ago
Data Scientist
TMC Canada
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
TMC Canada is looking for a Data Scientist to join our Montréal team in a hybrid role, supporting a major financial services client on cutting-edge Machine Learning and AI initiatives.…
Added 10 days ago
Windows Systems Administrator - L2
Global Relay
Vancouver, BC
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…
Added 10 days ago
Windows Systems Administrator - L2
Global Relay
Vancouver, BC
Full-time
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…
Added 10 days ago
Lead Information Security Analyst, Continuous AI Risk Management Expert (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Added 10 days ago
Integrated IT Services Administrator (Server Administrator)
SaskEnergy
Regina, SK
Full-time
Added 1 month ago
Senior Data Analyst
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are looking for Senior Analysts to join Canada Life’s Business Enablement, Data Analytics & Reporting team. We are currently hiring for multiple Senior Data Analyst roles and are seeking…
Added 10 days ago
Senior Data Analyst (12-month Contract)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are looking for a Senior Analyst to join Canada Life’s Business Enablement, Data Analytics & Reporting team.
Added 10 days ago
Security Operations Analyst
Bell
Toronto, ON
Added 10 days ago
Technical Support Engineer
Nozomi Networks
Canada
Added 10 days ago
Senior Machine Learning Engineer
RBC
Toronto, ON
Full-time
Added 10 days ago
Ingénieur de Données (Senior)
SII Canada
Montreal, QC
Full-time
Added 10 days ago
Technical Support Supervisor
Armstrong Fluid Technology
Toronto, ON
Full-time
Added 10 days ago
Data Analyst B043-26
Legal Aid BC
Vancouver, BC
Added 10 days ago
IT System Administrator
Waabi
Toronto, ON
$114,000 to $140,000 CAD / year
Full-time
Added 2 months ago
Snowflake Data Engineer
xCroTek AI
Open Hall, NL
Full-time
We are seeking a talented Snowflake Data Engineer with 1–5 years of experience in building and managing modern data pipelines. The ideal candidate should have strong expertise in Snowpipe,…
Added 10 days ago
Lead Information Security Analyst, Vulnerability and External Attack Surface Management (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Added 10 days ago
Lead Information Security Analyst, Data Protection Specialist (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Added 10 days ago
Senior Technical Support Representative
SOLV4EX Group
Richmond, BC
Full-time
Added 10 days ago
Data Scientist | Data Scientist
Cirque du Soleil Entertainment Group
Montreal, QC
Full-time
Added 10 days ago
Senior Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
We are seeking a Senior Data Scientist who combines deep expertise in machine learning with strong software engineering skills and experience building and deploying production-grade ML…
Added 10 days ago
Data Engineer I
Docebo
Toronto, ON
$68,600 to $91,500 CAD / year
Full-time
Added 10 days ago
Guidewire Business System Analyst
Pacer Group
Toronto, ON
$60 to $68 CAD / hour
Contract

BMO

Senior Data Scientist

Toronto, ON, Canada
BMOPLACE, Canada

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Apply by: Sep 30, 2026
Experience: Typically 5-7 years of relevant experience and a post-secondary degree in a related field of study, or an equivalent combination of education and experience.
Posting language: English
Posted: Sep 15, 2026

Apply About employer

Applications open in a new tab.

Original job description

Application Deadline:

09/29/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid role in Toronto

We are seeking a Senior Data Scientist who combines deep expertise in machine learning with strong software engineering skills and experience building and deploying production-grade ML solutions at scale. In this role, the candidate will leverage advanced machine learning, deep learning, and artificial intelligence techniques to develop models that analyze large volumes of structured and unstructured data, generating actionable insights and business value. The successful candidate will collaborate closely with data scientists, engineers, and analytics teams to optimize, refine, operationalize, and scale analytical solutions into robust, enterprise-grade products.The ideal candidate will also be a technical leader who can mentor team members, promote software engineering and MLOps best practices, improve code quality through design and code reviews, and help drive technical excellence across the team.

Mandatory Qualifications

Deep understanding of machine learning and deep learning algorithms, including model development, validation, optimization, deployment, and
and monitoring.
Experience building, deploying, and maintaining production-grade ML solutions at scale.
Experience developing machine learning models, and evaluating emerging technologies and tools to deliver innovative data-driven solutions for business stakeholders.
Strong software engineering fundamentals, including advanced Python development, algorithms, and data structures.
Experience performing code reviews and promoting coding standards, software design principles, and engineering best practices.
Hands-on experience with Git, GitHub, version control, and collaborative software development workflows.
Strong communication and collaboration skills, with the ability to work effectively across data science, engineering, product, and business teams.

Preferred Qualifications (Nice to Have)

Experience with AWS, SageMaker Unified Studio, lakehouse architectures, PySpark, feature stores, and MLOps platforms.
Previous experience in banking, fintech, or other highly regulated industries.
Technical leadership or people management experience, including mentoring and leading cross-functional teams.
Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. Research experience and publications at top-tier conferences such as NeurIPS, ICML, ICLR, KDD, or equivalent venues.
Typically 5-7 years of relevant experience and a post-secondary degree in a related field of study, or an equivalent combination of education and experience.

Salary:

$80,000.00 - $175,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will develop and deploy production-grade machine learning models to generate actionable business insights. They will also provide technical leadership by mentoring team members and promoting software engineering best practices across the organization.

Requirements

Candidates must have 5-7 years of experience with a deep understanding of machine learning algorithms and strong Python software engineering skills. Experience in building and maintaining scalable ML solutions in production environments is mandatory.

Skills

Machine learning
Deep learning
Artificial intelligence
Python
Software engineering
MLOps
Data structures
Algorithms
Git
GitHub
Model development
Model validation
Model optimization
Deployment
Monitoring
Technical leadership

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Machine learning
Deep learning
Artificial intelligence
Python
MLOps
AWS
SageMaker
Lakehouse architectures
PySpark
Feature stores
Git
GitHub
Data science
Software engineering
Fintech
Banking
Model deployment
Data structures
Algorithms
Technical leadership
Mentoring
Code reviews
Production-grade
Scalability
NeurIPS
ICML
ICLR
KDD
Statistics
Mathematics

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