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Added 46 mins ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a…
Added 1 hour ago
D
Devsecops Engineer
Deel
Canada
- Full-time
Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today,…
Added 1 hour ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…of a variety of opportunities including AI to Defend and/or cloud and application security initiatives for our clients. You will architect deeply technical solutions, lead cross-functional…
Added 2 hours ago
IG
Platform Engineer
Insight Global
Vancouver, BC
- $60 to $70 CAD / hour
- Contract
Insight Global is seeking a Platform Engineer to join a leading retail organization and support the evolution of critical digital commerce platforms. This team is responsible for powering…
Added 2 hours ago
D
Principal Product Manager, Sandboxes
Docker
Remote, Canada
- Full-time
- Remote
You have prior professional experience as a software engineer, ideally in systems, infrastructure, platform engineering, developer tools, or cloud.
Added 2 hours ago
AI
AWS DATA ENGINNER
Apptoza Inc.
Toronto, ON
- Contract
Lead the design, development, and enhancement of cloud-native data engineering frameworks on AWS.
Added 2 hours ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale - combining real-time…
Added 2 hours ago
AI
JAMS Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 3 hours ago
SL
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is looking for AI Engineer with at least 2 years of development experience. This role will be instrumental in driving innovation, implementing cloud capabilities, and building…
Added 3 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
BMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure…
Added 3 hours ago
B
Senior Manager, Data & AI
BDO
Vancouver, BC
- Full-time
Previous hands-on experience as a technical delivery professional, architect, developer, data engineer, analytics leader, or similar role, with the ability to remain technically credible…
Added 3 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI…
Added 3 hours ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 3 hours ago
TT
HVAC engineer
Trane Technologies
Montreal, QC
- Full-time
At BrainBox AI, we are revolutionizing how buildings consume energy by combining artificial intelligence, cloud computing, and HVAC expertise to create truly autonomous buildings. We’re…
Added 3 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 3 hours ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Previous hands-on experience as a technical delivery professional, architect, developer, data engineer, analytics leader, or similar role, with the ability to remain technically credible…
Added 3 hours ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
The Data Fabric team is a cross-functional team at Kinaxis that builds a multi-tenant, multi-cloud data platform on Databricks (GCP & Azure) to connect, govern, secure, and discover data…
Added 3 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
BMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure…
Added 3 hours ago
Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
…Automation Engineering) position, where you’ll work closely with the Platform Engineering Practice Lead to help implement a cohesive vision for scalable, secure, and automated software…
Added 3 hours ago
SF
Associate Director, Data Engineer
SickKids Foundation
Toronto, ON
- Full-time
Reporting to the Director, Data Science & Engineering, the Associate Director, Data Engineer designs, builds, and operates enterprise-grade data platforms that deliver trusted,…
Added 3 hours ago
Senior AI Engineer
Guidepoint
Toronto, ON
Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale - combining real-time…
Added 3 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Experience with Snowflake, AWS or Google Cloud Platform (GCP).
Added 3 hours ago
E
Platform or DevOps Engineer
entOS
Engineer, BC
- Full-time
We're seeking a Platform Engineer to own our cloud infrastructure, API ecosystem, authorization framework, and analytics platform. You'll scale our multi-tenant logistics SaaS platform…
Added 3 hours ago
AI Engineer Sr
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 4 hours ago
SA
Senior Full-Stack Engineer, NimbleRx
Swoop Airlines and Aviation
Toronto, ON
- $195,000 to $228,000 CAD / year
As a Senior Full-Stack Engineer, you will have a hand in architecting the technology and customer experience that are pivotal to multiple web products for patients, pharmacies, and other…

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.

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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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