IT & data jobs in Canada

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

Counted Oct 2, 2026

Hiring at a glance

View jobs

Open jobs: 2,554
Employers: 1,314

Advertised starting pay

Average starting payCAD / year: $98,039Across 240 listings
Average starting payCAD / hour: $51.59Across 83 listings
Average starting payUSD / year: $117,906Across 52 listings

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

Where work happens

Remote: 5%127 listings
Hybrid: 40%1,010 listings
On-site: 55%1,408 listings

Not specified: <1% (9 listings)

Employers hiring include TD (41), J&M Group (40), Amazon (35).

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
Staff Data Engineer
Jobber
Edmonton, AB
Full-time
Does working with Data motivate and excite you? Do you want to make a difference cross functionally?
Added 15 days ago
Staff Data Engineer
Jobber
Kitchener, ON
Full-time
Does working with Data motivate and excite you? Do you want to make a difference cross functionally?
Added 15 days ago
Staff Data Engineer
Jobber
Vancouver, BC
Full-time
Does working with Data motivate and excite you? Do you want to make a difference cross functionally?
Added 15 days ago
Staff Data Engineer
Jobber
Toronto, ON
Full-time
Does working with Data motivate and excite you? Do you want to make a difference cross functionally?
Added 16 days ago
Sr. Databricks Data Engineer, Onsite AVP
State Street
Toronto, ON
Full-time
We are looking for a Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services
Added 29 days ago
Data Architect
Sonepar Canada
Surrey, BC
Full-time
Added 16 days ago
Sr. Databricks Data Engineer, Onsite AVP
State Street
Toronto, ON
Full-time
We are looking for a Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services
Added 15 days ago
Machine Learning Scientist
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
Full-time
Added 15 days ago
Sr. Machine Learning Engineer
Insight
Remote, Canada
Full-time · Remote
Added 15 days ago
Principal Data Analyst - Dead by Daylight | Analyste de données Principal·e - Dead by Daylight
Behaviour Interactive
Montreal, QC
Full-time
Added 15 days ago
Data Analyst
Legal Aid BC
Vancouver, BC
$81,542 to $93,249 CAD / year
Temporary
Added 15 days ago
Sr. Databricks Data Engineer, Onsite AVP
State Street
Toronto, ON
Full-time
We are looking for a Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services
Added 15 days ago
Senior Data Engineer - Snowflake & DBT Cloud
Enterprise Solutions Inc.
Markham, ON
Contract
Extensive Experience of professional experience delivering over 10 high-impact data projects from inception through warranty
Added 3 months ago
IT Support Technician (Site Based)
Artemis Gold - Blackwater Project
BC
Temporary
Added 15 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$168,000 to $231,000 CAD / year
Full-time
Added 15 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
Added 16 days ago
Staff Data Engineer
Jobber
Remote, Canada
Full-time · Remote
Does working with Data motivate and excite you? Do you want to make a difference cross functionally?
Added 15 days ago
Analyst, Data Scientist
BMO Capital Markets
Toronto, ON
Contract
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing…
Added 16 days ago
Senior Data Engineer
Minga
Kelowna, BC
Full-time
Added 16 days ago
Associate, Data Scientist
BMO
Toronto, ON · FCP
Capital Mrkts Sales & Service, Data Analytics & Reporting
Added 15 days ago
Technical Support Engineer
Soroc Technology
Toronto, ON
$50 to $60 CAD / hour
Contract
Added 15 days ago
Technical Project Manager
Loblaw Companies Limited
Brampton, ON
Full-time
Added 16 days ago
Systems Analyst
CAA Club Group
Thornhill, ON
Added 16 days ago
Financial Data Analyst
NorthLake Financial ULC
Barrie, ON
Full-time
Added 15 days ago
Snowflake Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
Contract
Looking for a Data Modeler with 5+ years of experience, strong Snowflake & Data Modeling expertise, and 3+ years of P&C Insurance domain experience.

BMO

Associate, Data Scientist

Toronto, ON, Canada
FCP, Canada

Pay: Base Salary: $90,000-$120,000 CAD
Apply by: Oct 16, 2026
Experience: · Minimum 3 years of experience in data science or machine learning; experience in capital markets is a strong asset.
Posting language: English
Posted: Sep 16, 2026

Apply About employer

Applications open in a new tab.

Original job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service, Data Analytics & Reporting

BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in the front office, Investment Banking, and Corporate Banking. You will collaborate closely with business teams and other stakeholders to understand their data needs and provide insights that improve trading performance and profitability.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics technologies, we solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

· Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning.

· Build predictive models for algorithmic trading across asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange.

· Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies.

· Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability.

· Design and maintain reproducible machine learning pipelines for production environments.

· Analyze large datasets to extract insights and support strategic decision-making.

· Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.

· Visualize complex data clearly and concisely for business consumption.

Qualifications

· Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).

· Minimum 3 years of experience in data science or machine learning; experience in capital markets is a strong asset.

· Proficiency in statistical modeling, time series analysis, and machine learning frameworks.

· Strong programming skills (Python preferred) and experience with cloud technologies.

· Familiarity with financial tools such as Bloomberg, FactSet, and Thomson Reuters is a plus.

· Excellent problem-solving skills and ability to formulate hypotheses and learn from data.

· Strong communication skills for effective collaboration with technical and business stakeholders.

· Team-oriented, adaptable, and detail-focused with a results-driven mindset.

Nice to Have

· Experience with Generative AI and advanced ML techniques.

· Knowledge of investment banking concepts, trading strategies, and financial data formats.

· Familiarity with MLOps tools and practices for model deployment and monitoring.

What We Offer

Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. We offer opportunities for professional growth, access to cutting-edge tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in data science and finance.

Base Salary: $90,000-$120,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

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

Develop and implement advanced machine learning models to support algorithmic trading strategies across various asset classes. Collaborate with business stakeholders to provide data-driven insights that improve trading performance and profitability.

Requirements

Requires a Ph.D. in a quantitative field such as Computer Science, Mathematics, or Physics. Candidates must have at least 3 years of experience in data science or machine learning, with proficiency in Python and statistical modeling.

Skills

Data Science
Machine Learning
Python
Statistical Modeling
Time Series Analysis
Generative AI
Deep Learning
Reinforcement Learning
Algorithmic Trading
Cloud Technologies
Data Visualization
Predictive Modeling
Financial Analysis
Problem-solving
Communication

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

Data Science
Machine Learning
Generative AI
Deep Learning
Reinforcement Learning
Algorithmic Trading
Python
Time Series Analysis
Cloud Technologies
Bloomberg
FactSet
Thomson Reuters
Investment Banking
Corporate Banking
Equities
Fixed Income
Commodities
Foreign Exchange
MLOps
Predictive Modeling
Data Analytics
Quantitative Analysis
Capital Markets
Financial Services
Statistical Modeling

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