Data Science Engineer

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

As Canadas 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 Canadas future and the world.

At the NRC youll also discover new possibilities. Our supportive workplace fosters a culture of creativity welcoming fresh perspectives and innovation at all levels. We value teamwork. Youll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly youll discover whats 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.

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 teams ability to deliver AI and data science solutions efficiently.

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:

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

For information oncertificates and diplomas issued abroad please see Degree equivalency

• 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

Reliability Status

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

English or French

Information on language requirements and self-assessment tests

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

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

View all competency profiles

From $103911to $130061 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.

• In 2026 the NRC was chosen as one of Canadas Top Employers for Young People a National Capital Region Top Employer and Forbes Canadas Best Employer.
• Relocation assistance will be determined in accordance with the NRCs 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.