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Added 2 mins ago
TS
Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
Global Equity Derivatives (GED) is seeking a highly motivated Front Office Quant Engineer to design, develop, and maintain technology solutions that enhance the productivity and…
Added 34 mins ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial…
Added 1 hour ago
UO
Assistant Professor - Aerospace Engineering (Aeronautics)
University of Toronto
Toronto, ON
- $135,000 to $160,000 CAD / year
Faculty/Division: Faculty of Applied Science & Engineering
Added 1 hour ago
UO
Assistant Professor, Teaching Stream - Aerospace Engineering
University of Toronto
Toronto, ON
- $125,000 to $150,000 CAD / year
Faculty/Division: Faculty of Applied Science & Engineering
Added 1 hour ago
Senior Software Engineer, Data Platform
Okta
Toronto, ON
Demonstrable knowledge of computer science fundamentals with strong API Design skills.
Added 2 hours ago
SJ
Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
At least 10 years of experience as a hands-on software engineer
Added 4 hours ago
F
Director, Technical Support - Cybersecurity
Fortra
Canada
- Full-time
…resolution time, SLA attainment, backlog aging, case deflection, engineer productivity, and customer…
Added 12 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
As a Dynamics 365 CRM Solution Engineer, you will lead AI transformation engagements with deep CRM domain expertise. Your role involves owning the technical win strategy and supporting AI…
Added 13 hours ago
A
Hardware Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Strong decision-making skills and a sense of ownership over design work.
Added 13 hours ago
A
Power Electronics Design Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Strong decision-making skills and a sense of ownership over design work.
Added 15 hours ago
PU
Staff Software Engineer – Data Systems
Purpose Unlimited
Remote, Canada
- Full-time
- Remote
Purpose Unlimited is building the financial products infrastructure that puts clients first, and we need the engineer who ensures that infrastructure is fast, reliable, and built to evolve.…
Added 15 hours ago
AM
Principal ASIC Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 17 hours ago
CI
Intern Analyst, PhD – Systematic Strategies Group
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…tools using macroeconomic, market and alternative datasets, engineer robust data workflows, and help translate academic research into enhancements to investment…
Added 17 hours ago
IW
AI Development & Continuous Improvement Student (Summer 2027)
Irving Woodlands
Saint John, NB
- Full-time
Reporting to the Maintenance Process & Performance Engineer, the role will support the development and implementation of digital solutions that improve operational efficiency, automate…
Added 17 hours ago
B
Senior Manager, Data & AI
BDO
Vancouver, BC
- Full-time
A degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, Business Analytics, or another relevant discipline.
Added 17 hours ago
CL
Data Scientist
Charger Logistics Inc
Brampton, ON
- Full-time
…for fleet analytics, logistics optimization, and operational decision-making. This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI-driven…
Added 17 hours ago
RE
Engineer (Physical AI)
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking an entry level Engineer (Physical AI) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will research and develop next generation…
Added 17 hours ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
A degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, Business Analytics, or another relevant discipline.
Added 17 hours ago
Senior AI Engineer
Guidepoint
Toronto, ON
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 18 hours ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
…for fleet analytics, logistics optimization, and operational decision-making. This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI-driven…
Added 18 hours ago
A
Principal ASIC Design Engineer
AMD
Markham, ON
- $155,200 to $232,800 USD / year
- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 18 hours ago
N
System Design Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a talented and experienced System Design Engineer to join our dynamic team at Nokia. In this role, you will play a crucial part in analyzing carrier networking environments…
Added 19 hours ago
Z
Senior Software Developer
Zynga
Toronto, ON
- $99,800 to $147,680 CAD / year
…work in a team with dynamic strengths. The Senior Software Engineer will be working with a complementary team of software engineers to craft and maintain Zynga’s core Payments platform,…
Added 20 hours ago
C
Senior Java Engineering Lead
Citi
Mississauga, ON
- Full-time
As a Senior Backend Java Engineer, you will design and build scalable backend systems that power critical applications within Citi's technology organization. This hands-on role puts you at…
Added 20 hours ago
GM
Principal Software Engineering - Test System Modernization
General Motors
Markham, ON
- Full-time
General Motors is seeking a Principal/Staff Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for…

National Research Council Canada

Data Science Engineer

Ottawa, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Oct 20, 2026
Posting language: English
Posted: Oct 5, 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: CS-3

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.

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.

The role

We are looking for a Data Science Engineer to support our Digital Technologies research Centre (DT). The Data Science Engineer would be an employee who shares our core values of Integrity, Excellence, Respect and Creativity.

Under the direction of the Team Leader, Data Analytics Centre, the incumbent will contribute to the provision of data analytics services to external clients and NRC.

The Data Science Engineer will work alongside our data scientists to support the development of custom machine learning models and other data products for clients. They have an understanding of data science workflows as well as technical expertise pertaining to solution architectures and data engineering that will support project development and delivery to clients. The roles and responsibilities of the incumbent Data Science Engineer may include:

Collaborate with data scientists, AI researchers, and client stakeholders to define technical strategies and implementation plans to address client business challenges.
Develop scalable, secure, and maintainable solution architectures that enable clients to adopt, test, and operationalize AI and data-driven technologies.
Build and maintain data ingestion, transformation, storage, and access layers to support machine learning, analytics, visualization, and decision-support applications.
Package AI and data science prototypes into usable client-facing solutions, including web applications, dashboards, APIs, containers, documentation, and deployment-ready components.
Lead the development of key technical components within multidisciplinary projects, ensuring alignment with project objectives, client requirements, security expectations, and operational constraints.
Troubleshoot and resolve technical issues related to data pipelines, application components, integrations, infrastructure, and deployment environments.
Evaluate emerging tools, frameworks, and architectural patterns in data engineering, AI enablement, and data science platforms, and advise project teams on their practical use.
Communicate technical concepts, architecture decisions, risks, and trade-offs clearly to both technical and non-technical stakeholders.
Produce technical documentation, architecture diagrams, deployment guides, data pipeline documentation, and user-oriented materials to support knowledge transfer to clients.
Help define reusable patterns, templates, tools, and platform components that improve the team’s ability to deliver AI and data science solutions efficiently.

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 from a recognized university in Computer Science, Computer Engineering or closely related to science, technology, engineering, and mathematics (STEM) fields
A Bachelor’s degree in Computer Science, Computer Engineering or closely related STEM field with related work experience may be considered.

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

Experience

Significant experience designing, developing, and maintaining data pipelines, including data ingestion, transformation, validation, storage, and/or access layers.
Significant experience developing backend systems, APIs, or services that support data-intensive applications, analytics platforms, or AI-enabled solutions.
Significant experience building client-facing solutions, such as web applications, dashboards, APIs, containers or analytical tools.
Experience working in a multidisciplinary team involving data scientists and supporting their work

Assets:

Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Experience working directly with government, public sector, industrial, or enterprise clients

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 data structures including retrieval of data from relational (SQL) and non relational databases.
Proficiency in using Generative AI at work.
Proficiency in Python or R.
Knowledge of mathematics and statistics

Behavioural competencies

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

From $103,911 to $130,061 per annum.

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.

Notes

In 2026, the NRC was chosen as one of Canada’s Top Employers for Young People, a National Capital Region Top Employer and Forbes Canada’s Best Employer.
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 (26119) to:

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

Telephone: 3439909603

Closing Date: 19 October 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 About employer

More about this job

Responsibilities

The Data Science Engineer will collaborate with data scientists and stakeholders to develop scalable machine learning models and data-driven solution architectures. They are responsible for building data pipelines, packaging prototypes into client-facing applications, and troubleshooting technical issues across deployment environments.

Requirements

Candidates must hold a Master's degree in a STEM field, or a Bachelor's degree with significant relevant work experience. Applicants are required to demonstrate extensive experience in maintaining data pipelines, developing backend systems, and building client-facing analytical solutions.

Skills

Data science
Machine learning
Data engineering
Python
R
SQL
Solution architecture
Data pipelines
API development
Cloud platforms
Generative AI
Data visualization
Statistics
Mathematics
Technical documentation

Benefits

Pension plan
Health coverage
Dental coverage
Disability insurance
Life insurance
Office closure at the end of December

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Data Engineering
Python
R
SQL
Azure
AWS
Google Cloud
API
Containers
Data Pipelines
Generative AI
Solution Architecture
STEM
Data Analytics
Dashboarding
Reliability Status
Employment Equity
Research and Innovation

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