IT & data jobs in Canada

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Added 1 month ago
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Data Scientist, Risk Modeling & Analytics
Financeit
Remote, Canada
- Full-time
- Remote
Do you love diving into data, solving complex problems with tech, and figuring out what really drives credit risk and customer behaviour? Are you equally skilled at balancing deep…
Added 1 month ago
O
Principal Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $192,000 to $264,000 CAD / year
- Full-time
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.
Added 1 month ago
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Information Technology - Senior/Solution Systems Analyst, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
…to design, build, deliver, and operate scalable technology, data, analytics, and AI solutions that align with the strategic objectives of Aritzia’s Planning, Buying, Allocation and Pricing…
Added 1 month ago
F
Data Scientist, Risk Modeling & Analytics
Financeit
Toronto, ON
- $75,000 to $100,000 CAD / year
- Full-time
Do you love diving into data, solving complex problems with tech, and figuring out what really drives credit risk and customer behaviour? Are you equally skilled at balancing deep…
Added 1 month ago
Lead Data Scientist
Independent Electricity System Operator
Canada
The Lead Data Scientist reports to the Senior Manager, Data & Analytics in the SME groups and is accountable for scoping, design, and implementation of models and/or algorithms to obtain…
Added 1 month ago
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Senior Systems Administrator
S&C Electric Company
Toronto, ON · Etobicoke, ON
- Full-time
Added 1 month ago
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Senior Business Systems Analyst
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 1 month ago
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Software Development Manager
MaintainX
Montreal, QC
- $140,000 to $205,000 CAD / year
- Full-time
Added 1 month ago
IT Service Desk Analyst (1 year Temporary)
Spartan Controls Ltd.
Edmonton, AB
Current Driver’s License required
Added 1 month ago
Data Scientist
National Research Council Canada
Ottawa, ON
We are seeking a Data Scientist to join the Data Analytics Centre within the NRC’s Digital Technologies Research Centre.
Added 1 month ago
Senior Software Engineering Manager - EA SPORTS™ UFC
Electronic Arts
Vancouver, BC
Added 1 month ago
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Data Engineer – PySpark & SQL
Capgemini
Mississauga, ON
- Full-time
Candidate must hold at least one relevant, active Data Engineering or Cloud certification, preferably from:
Added 1 month ago
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Machine Learning Scientist II
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
…machine learning algorithms that enable systems to learn from data and make informed predictions or decisions. This role involves developing models, fine-tuning algorithms, and deploying…
Added 1 month ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 1 month ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Develop and maintain a complete animation data pipeline for ML training, from data source to deployment.
Added 1 month ago
Machine Learning Engineer III
Electronic Arts
Vancouver, BC
The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office…
Added 1 month ago
Advanced Data Analyst - EA Sports FC Live
Electronic Arts
Vancouver, BC
Advanced Data Analyst - FC Live Service Forecasting
Added 1 month ago
Advanced Data Analyst - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Advanced Data Analyst, Experimentation Lead - FC Ultimate Team
Added 1 month ago
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Senior Database Administrator (Oracle, SQL Server, AWS RDS & Automation)
BMO
Toronto, ON · SCC
- Full-time
Added 1 month ago
GA
Sr. Manager, System Administrator
Gildan Activewear Inc
Montreal, QC
- Other
Availability & Data Protection: Enterprise backup and disaster recovery planning (DRP) solutions, specifically Commvault.
Added 1 month ago
SG
Application Support Analyst
Societe Generale
Montreal, QC
- Full-time
…agile transformation delivered, spreading the technology and data culture, shortening the decision-making process, and adopting a true industrial approach, leveraging on different teams…
Added 1 month ago
AL
Data Management Specialist
Accion Labs
Ottawa, ON
- Contract
Must hold a valid SAP certification
Added 1 month ago
PhD Data Scientist, Intern
Stripe
Toronto, ON
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions…
Added 1 month ago
Data Analyst, Intern
Stripe
Toronto, ON
Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that…
Added 1 month ago
CG
Junior/Intermediate Network Administrator
Calian Group
Ottawa, ON
- Full-time
Ability to work on-site in Ottawa 2–3 days per week (hybrid model)

Data Scientist

Ottawa, ON, Canada

The intent of this hiring action is to staff this position at the RCO-3 or 4 level, with a salary range of $119,688 to $168,192.

Apply on recruitment-recrutement.nrc-cnrc.gc.ca About employer

Applications open in a new tab.

Job details

Pay: The intent of this hiring action is to staff this position at the RCO-3 or 4 level, with a salary range of $119,688 to $168,192.
Posting language: English
Posted: Oct 1, 2026

Original job description

Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

* The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

Candidates are asked to self-declare when applying to this hiring process.

City: Ottawa

Organizational Unit: Digital Technologies

Classification: RCO

Tenure: Term

Duration: 2 years

Language Requirements: English or French

Work arrangements:

Due to the nature of the work and operational requirements, this position may be eligible for a limited hybrid work arrangement (combination of working onsite and telework).

At the NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below.

The role

We are seeking a Data Scientist to join the Data Analytics Centre within the NRC’s Digital Technologies Research Centre.

In this role, you will work directly with Canadian small and medium-sized enterprises (SMEs), to help them understand, scope, and solve data-driven business problems. You will contribute across the full project lifecycle: meeting with clients, identifying opportunities, translating business needs into technical work plans, developing statements of work, executing analyses and models, and delivering practical, high-quality results.

Reporting to the Team Leader, Data Analytics Centre, you will work in small multidisciplinary teams on applied analytics, machine learning, and AI projects. Your work will help Canadian companies make better decisions, improve operations, adopt digital technologies, and accelerate innovation.

This position is well suited to someone who combines strong technical data science skills with excellent communication, judgement, teamwork, and time management.

Key Responsibilities

Client Engagement and Project Scoping

Meet with Canadian SMEs to understand their business context, operational challenges, data assets, and decision-making needs.
Help clients clarify and refine business problems into feasible data science, analytics, or AI projects.
Contribute to project scoping, including technical approaches, work plans, timelines, assumptions, risks, and deliverables.
Communicate clearly with clients throughout the project lifecycle, including managing expectations and explaining analytical findings.

Applied Data Science and Statistical Modelling

Acquire, clean, process, explore, and analyze structured and unstructured data.
Develop statistical, machine learning, and analytical models to address client problems.
Apply appropriate methods such as regression, classification, clustering, forecasting, optimization, natural language processing, simulation, or other relevant techniques.
Evaluate model performance, uncertainty, limitations, and practical usefulness.
Translate analytical results into actionable recommendations for clients.

Coding, Reproducibility and Delivery

Write clear, efficient, maintainable code in Python, R, or similar languages.
Develop reproducible analytical workflows using notebooks, scripts, version control, and good documentation practices.
Build prototypes, dashboards, data pipelines, reports, and reusable analytical tools.
Deliver client-ready code, models, documentation, and analytical outputs.
Balance rigour with practical delivery timelines in a project-based environment.

Visualization and Communication

Create clear visualizations, dashboards, and reports that communicate insights effectively.
Present technical findings to both technical and non-technical audiences.
Prepare concise written deliverables, including summaries, reports, presentations, and recommendations in plain language.

Teamwork and Continuous Learning

Work collaboratively in small teams of data scientists, software developers, data engineers, researchers, and business development staff.
Manage multiple priorities and deadlines across client-facing projects.
Stay current with emerging data science, machine learning, and AI practices.
Contribute to NRC practices for responsible, transparent, and reproducible AI.

Screening criteria

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

Education

A master’s degree in data science, statistics, computer science, mathematics, engineering, operations research, economics, or another relevant field; or
A bachelor’s degree in a relevant field combined with significant experience in applied data science, statistics, analytics, machine learning, or related work may be considered.

Assets

Experience with cloud platforms such as Azure, AWS, or GCP.
Experience in in modern visualization frameworks and interactive dashboards.
Experience with MLOps, containerization, CI/CD, model deployment, or production analytics workflows.
Experience with natural language processing, generative AI, computer vision, optimization, forecasting, or simulation.

For information on certificates and diplomas issued abroad, please see Degree equivalency

Experience

Applying data science, statistical analysis, machine learning, or advanced analytics to solve real-world problems.
Working with clients, stakeholders, or end users to understand needs, gather requirements, and define analytical approaches.
Cleaning, processing, exploring, and analyzing data from diverse sources.
Developing analytical models, prototypes, dashboards, reports, or decision-support tools.
Coding in Python, R, or a similar language for data analysis, modelling, or automation.
Communicating technical findings to non-technical audiences through presentations, reports, visualizations, or client briefings.
Working in teams to deliver projects within defined timelines.

Condition of employment

Reliability Status

For a Reliability Status, verification of background information over a period of 5 years is required.

Language requirements

English or French

Information on language requirements and self-assessment tests

Assessment criteria

Candidates will be assessed on the basis of the following criteria:

Technical competencies

Strong knowledge of statistical, mathematical, and machine learning methods and their application to practical problems.
Ability to interpret client requirements and translate them into feasible analytical approaches.
Ability to writing clean, reproducible, and maintainable production-ready code.

Behavioural competencies

Research Technician/Technologist - Communication (Level 3)
Research Technician/Technologist - Creative thinking (Level 3)
Research Technician/Technologist - Results orientation (Level 3)
Research Technician/Technologist - Client focus (Level 3)
Research Technician/Technologist - Teamwork (Level 3)

Competency Profile(s)

For this position, the NRC will evaluate candidates using the following competency profile(s): Research Technician/Technologist;

View all competency profiles

Compensation

The intent of this hiring action is to staff this position at the RCO-3 or 4 level, with a salary range of $119,688 to $168,192.

NOTE: Please note that the full RO/RCO salary scale has five levels. Salary determination will be based on a review of the candidate’s expertise, outcomes and impacts of their previous work experience relative to the requirements of the level. As such, the initial salary could be within another level of the RO/RCO salary scale (i.e. above or below the intended level for this position).

NRC employees enjoy a wide-range of competitive benefits including a robust pension plan, comprehensive health and dental coverage, disability and life insurance, office closure at the end of December, and additional supports to enhance your well-being throughout your career and beyond.

Discover the possible

Anything is possible at the NRC, named in 2026 one of Canada’s Top Employers for Young People, Top Employer in the National Capital Region and Forbes Canada’s Best Employers!

As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world.

At the NRC, you’ll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

Notes

Relocation assistance will be determined in accordance with the NRC's directives.
A pre-qualified list may be established for similar positions for a one-year period.
Preference will be given to Canadian citizens and permanent residents of Canada. Please include citizenship information in your application.
The incumbent must adhere to safe workplace practices at all times.
We thank all those who apply, however only those selected for further consideration will be contacted.

Please direct your questions, with the requisition number (26120) to:

E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

Telephone: 3439909603

Closing Date: 19 Ocotber 2026 - 23:59 Eastern Time

For more information on career tools and other resources, check out Career tools and resources

*If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.

Apply on recruitment-recrutement.nrc-cnrc.gc.ca About employer

More about this job

Responsibilities

The Data Scientist will work with Canadian SMEs to scope and solve data-driven business problems by developing analytical models and machine learning solutions. They will contribute to the full project lifecycle, from client engagement and technical planning to the delivery of high-quality, actionable analytical results.

Requirements

Candidates must hold a master's degree in a relevant field or a bachelor's degree with significant experience in applied data science, statistics, or machine learning. Strong technical skills in Python or R, along with the ability to communicate complex findings to non-technical audiences, are required.

Skills

Data science
Machine learning
Statistical modelling
Python
R
Data analytics
Artificial intelligence
Project scoping
Client engagement
Data visualization
Natural language processing
Optimization
Forecasting
Simulation
Cloud platforms
MLOps

Benefits

Pension plan
Health coverage
Dental coverage
Disability insurance
Life insurance

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Artificial Intelligence
Python
R
Statistical Analysis
Cloud Platforms
Azure
AWS
GCP
MLOps
Containerization
CI/CD
Natural Language Processing
Computer Vision
Optimization
Forecasting
Simulation
Data Analytics
Dashboarding
Data Pipelines
Version Control
Reproducible Research
SME
Applied Analytics
Research
Innovation
Digital Technologies
Reliability Status
Government

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Hiring at a glance

Advertised starting pay

Where work happens

IT & data jobs in Canada

Data Scientist, Risk Modeling & Analytics

Principal Machine Learning Engineer, SecureAI

Information Technology - Senior/Solution Systems Analyst, Product Business Technology

Data Scientist, Risk Modeling & Analytics

Lead Data Scientist

Senior Systems Administrator

Senior Business Systems Analyst

Software Development Manager

IT Service Desk Analyst (1 year Temporary)

Data Scientist

Senior Software Engineering Manager - EA SPORTS™ UFC

Data Engineer – PySpark & SQL

Machine Learning Scientist II

Machine Learning Engineer - EA SPORTS™ FC

Machine Learning Engineer - EA SPORTS™ FC

Machine Learning Engineer III

Advanced Data Analyst - EA Sports FC Live

Advanced Data Analyst - EA SPORTS™ FC

Senior Database Administrator (Oracle, SQL Server, AWS RDS & Automation)

Sr. Manager, System Administrator

Application Support Analyst

Data Management Specialist

PhD Data Scientist, Intern

Data Analyst, Intern

Junior/Intermediate Network Administrator

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Advertised starting pay

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IT & data jobs in Canada