Data Science Engineer

National Research Council of Canada; Ottawa; Hybrid; CAD 95,000 - 130,000; Full time

Benefits offered by this job

Pension plan

Health and dental coverage

Disability and life insurance

Relocation assistance

Job summary

The National Research Council of Canada is seeking a Data Science Engineer within the Digital Technologies research Centre to support data analytics services for internal and external clients.

The role focuses on building machine learning models, data pipelines, and scalable architectures, collaborating with data scientists and stakeholders to deliver AI-enabled solutions.

Qualifications

• Master’s degree in Computer Science or closely related STEM field required.
• Bachelor’s degree in Computer Science or closely related STEM field with related work experience may be considered.
• Significant experience designing, developing, and maintaining data pipelines.

Responsibilities

• Collaborate with data scientists and clients to define technical strategies and implementation plans.
• Develop scalable architectures enabling AI and data-driven technologies.
• Build data ingestion, transformation, storage, and access layers for ML and analytics.
• Package prototypes into client-facing solutions such as web apps, dashboards, APIs, and containers.
• Lead development of key technical components within multidisciplinary projects.

Skills

Data pipelines

Backend systems

Python or R

Generative AI

Data architectures

Education

Master’s degree in Computer Science or STEM

Bachelor’s degree in Computer Science or STEM

Experience with data pipelines and analytics

Tools

Azure

AWS

Google Cloud

APIs

Containers

Job description

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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.

OrganizationalUnit:Digital Technologies

Classification:CS-3

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

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.
• 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.

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

• 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
• 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)

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 therequisition number (26119) to:

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

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