Data Scientist

We are seeking a Data Scientist to join the Data Analytics Centre within the NRCs 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.

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.

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 in data science statistics computer science mathematics engineering operations research economics or another relevant field; or
• A bachelors 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

• 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.

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 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.

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

View all competency profiles

The intent of this hiring action is to staff this position at theRCO-3 or 4 levelwith a salary range of $119688 to $168192.

NOTE: Please note that the full RO/RCO salary scale has five levels. Salary determination will be based on a review of the candidates expertise outcomes and impacts of their previous work experience relative to the requirements of the 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.

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.

• 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.