IT & data jobs in Canada

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

Counted Oct 3, 2026

Hiring at a glance

View jobs

Open jobs: 2,530
Employers: 1,310

Advertised starting pay

Average starting payCAD / year: $97,449Across 247 listings
Average starting payCAD / hour: $50.62Across 81 listings
Average starting payUSD / year: $117,865Across 51 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 39%997 listings
On-site: 55%1,396 listings

Not specified: <1% (8 listings)

Employers hiring include TD (39), J&M Group (38), 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 3 mins ago
EI
Software Development Manager
EBlock Inc.
Canada
- $160,000 to $180,000 CAD / year
- Full-time
Added 17 mins ago
AS
Machine Learning Engineer
AgileGrid Solutions
Canada
- Full-time
Added 46 mins ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
Added 4 hours ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
Added 5 hours ago
SI
Data Analyst
Spait Infotech
Canada
- Full-time
Collect, clean, validate, and analyze data from multiple sources.
Added 8 hours ago
NG
information technology (IT) business analyst
National Grating Inc.
West Kelowna, BC
- Full-time
Added 8 hours ago
DM
IT Support Analyst II
Discovery Mining Ltd
South Porcupine, ON
- $87,000 to $90,000 CAD / year
- Full-time
Added 8 hours ago
W
Data Engineer
Wiraa
Canada
- Full-time
Added 9 hours ago
JF
IT Support Staff
J&L Fasteners
Brampton, ON · Regional Municipality of Peel, ON
- Full-time
Added 9 hours ago
C
Senior Data Scientist – Life and Health
Co-operators
Calgary, AB · Moncton, NB · Burlington, ON · Guelph, ON · Mississauga, ON · Ottawa, ON · Regina, SK
- Full-time
Added 9 hours ago
SA
Cybersecurity Specialist (Junior)
Sarmaya AI
ON · Ontario, Canada
- Full-time
Added 10 hours ago
T
Data Architect, Technology Data Management
TD
Toronto, ON
- Full-time
Added 10 hours ago
OV
Systems Consultant, Information Technology - Full Time - Markham Stouffville Hospital
Oak Valley Health
Markham, ON
- Full-time
Added 10 hours ago
NE
Junior Business Data Analyst - Winter 2027 Co-op
Nexus Energy
Toronto, ON
- Volunteer
Added 11 hours ago
RB
Lead System Administrator
Royal Bank of Canada
Toronto, ON
- Full-time
Added 11 hours ago
EI
Financial Systems Analyst
Ecolab Inc.
Calgary, AB
- Full-time
Founded in Calgary, Alberta in 2001, CoolIT Systems is the leading Direct Liquid Cooling technology provider for data centers, supercomputers, and desktop computers. We design and…
Added 11 hours ago
XT
Technicien Réseau/Network Technician
XTL Transport, Logistics, Distribution
Vaudreuil-Dorion, QC
- Full-time
Added 11 hours ago
QA SOFTWARE TESTER II (HYBRID)
Green Shield Canada
London, ON · Ottawa, ON · Toronto, ON · Montreal, QC · Quebec, QC
Added 12 hours ago
OO
Financial Accounting, Reporting, and Systems Analyst, Financial Analyst
Office of the Superintendent of Financial Institutions Canada
Ottawa, ON · Toronto, ON
- Full-time
Added 12 hours ago
P
Systems Analyst
Precinmac
Milton, ON
- $40 to $45 CAD / hour
- Full-time
…managing and maintaining Business Central systems, supporting data analysis efforts, leveraging Power BI for reporting and insights, and overseeing…
Added 13 hours ago
LI
Senior Data Engineer
Livingston International
Toronto, ON · Etobicoke, ON
- Full-time
Added 13 hours ago
A
Data Engineer
Azulity
Engineer, BC
- Full-time
As an MDM Data Analyst, you will be a key member of the MDM team, responsible for developing and maintaining match strategies using data from various sources, including Credentialing and…
Added 13 hours ago
KI
Co-op/Intern IT Support Technician
Kinaxis Inc.
Ottawa, ON
- Internship
Added 14 hours ago
IT Support Technician
Quadra
Edmonton, AB
Added 15 hours ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time

AgileGrid Solutions

Senior Data Scientist

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 3, 2026

Original job description

About The Company

The National Bank of Canada is a leading financial institution committed to delivering innovative banking solutions and exceptional customer service. With a rich history of serving individuals, businesses, and communities across Canada, the bank prides itself on its strong values of partnership, agility, and empowerment. As a people-first organization, it fosters a collaborative and inclusive environment that encourages continuous growth, development, and community involvement. The bank’s focus on technological advancement and digital transformation positions it as a forward-thinking leader in the financial sector, dedicated to creating positive impacts on the lives of its clients and employees alike.

About The Role

We are seeking a highly skilled Senior Data Scientist to join our Western Excellence Center AI and Transformation Delivery team at the National Bank of Canada. This role offers an exciting opportunity to work at the forefront of artificial intelligence and data analytics, leveraging advanced machine learning techniques to enhance client experiences, optimize risk management, and improve operational efficiencies. As a key member of our multidisciplinary team, you will be responsible for designing, deploying, and operationalizing complex data science solutions that support strategic decision-making and innovation within the organization. Your expertise will directly contribute to the bank’s digital transformation initiatives, enabling us to stay ahead in a competitive landscape.

Qualifications

The ideal candidate will possess a degree in computer science, engineering, data science, statistics, or a related field, complemented by three to five years of hands-on experience in delivering production-level analytics or machine learning solutions. Strong programming skills are essential, with proficiency in languages such as Python, SQL, Rust, JavaScript, C, C++, SAS, or R. Experience working with relational databases and data wrangling, preprocessing, and visualization tools like SAS Viya or equivalent platforms is required. Familiarity with model management, continuous integration and delivery pipelines, source control, and modern development environments is also necessary. Additionally, practical knowledge of containerization, orchestration, cloud platforms such as Amazon Web Services or Microsoft Azure, and deployment practices in production environments will be highly advantageous.

Responsibilities

Collaborate with business partners to define high-impact analytics and AI projects, translating business needs into actionable data science solutions.
Design, develop, validate, and deploy machine learning models, including statistical and generative AI models such as large language models and retrieval-augmented generation solutions.
Conduct exploratory data analysis, feature engineering, and model experimentation, communicating insights and recommendations to stakeholders for informed decision-making.
Implement and oversee model lifecycle practices, including deployment, monitoring, continuous integration, issue resolution, and performance evaluation, ensuring models are audit-ready and compliant.
Establish and promote best practices, standards, reusable patterns, and comprehensive documentation for models, data lineage, assumptions, and AI processes.
Support delivery activities such as planning, testing, troubleshooting, demonstrations, training, and knowledge transfer to facilitate adoption of new methods and tools across teams.

Your Team

Within the Western Excellence Center AI and Transformation Delivery department, you will be part of a dynamic, multidisciplinary team that collaborates closely with various units including data governance, infrastructure, security, database administration, business analysis, and quality assurance. The team operates with a high degree of autonomy within established standards, fostering a culture of innovation, knowledge sharing, and continuous improvement. The organization values flexibility and offers a hybrid work environment with adaptable schedules to support work-life balance. The bank is dedicated to employee development through personalized training programs, including initiatives like the Data Academy, language training, Harvard Learning Center, and mentoring support, ensuring continuous growth and mastery of your role.

Benefits

The National Bank of Canada offers a comprehensive benefits package designed to support your wellbeing and that of your family. Upon joining, you will have access to health and wellness programs, flexible group insurance options, a generous pension plan, and an Employee Share Ownership Plan. Additional benefits include an employee and family assistance program, preferential banking services, involvement in community initiatives, telemedicine services, and a virtual sleep clinic. The bank’s work environment emphasizes collaboration, innovation, and employee engagement, providing cutting-edge tools and fostering a culture of feedback and continuous improvement. These offerings are tailored to meet current trends and your personal needs, ensuring a positive and supportive workplace experience.

Equal Opportunity

The National Bank of Canada is committed to fostering an inclusive and accessible environment for all employees and candidates. We provide accommodations throughout the recruitment process and in the workplace to ensure equal opportunity for everyone. Our organization values diversity and believes that different perspectives strengthen our team and enhance our ability to serve our clients effectively. We welcome applications from all qualified candidates and encourage individuals of all backgrounds to consider joining our team. If you require accommodations or assistance, please let us know during the initial stages of the hiring process. We are dedicated to creating a barrier-free environment where everyone can thrive and succeed.

Apply About employer

More about this job

Responsibilities

Collaborate with business partners to define analytics and AI initiatives, then design, validate, and deploy machine learning and generative AI solutions. Manage model lifecycles and governance, communicate findings to stakeholders, and support adoption through documentation, testing, training, and knowledge transfer.

Requirements

A degree in computer science, engineering, data science, statistics, or a related field and three to five years of experience delivering production-level analytics or machine learning solutions are sought. Candidates should have strong programming and data skills, experience with relational databases and data preparation or visualization tools, and familiarity with model management, CI/CD, source control, and modern development environments; cloud, containerization, and orchestration experience are advantageous.

Skills

Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
SQL
Data Wrangling
Exploratory Data Analysis
Feature Engineering
Model Deployment
Model Monitoring
Continuous Integration And Delivery
Cloud Platforms
Containerization
Data Visualization
Stakeholder Communication

Benefits

Health And Wellness Programs
Flexible Group Insurance
Pension Plan
Employee Share Ownership Plan
Employee And Family Assistance Program
Preferential Banking Services
Community Initiatives
Telemedicine Services
Virtual Sleep Clinic
Flexible Work Schedules
Training And Development
Mentoring Support

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
SQL
Rust
JavaScript
C
C++
SAS
R
Relational Databases
SAS Viya
Data Wrangling
Data Preprocessing
Data Visualization
Model Management
Continuous Integration And Delivery
Source Control
Containerization
Orchestration
Amazon Web Services
Microsoft Azure
Model Monitoring
Feature Engineering
Data Governance
Risk Management
Digital Transformation

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