Posted 11 days ago
Scientist, Data Research
@ Cameco Corporation-Saskatoon
Saskatoon, Saskatchewan
Overview
Cameco Corporation in Saskatoon is hiring a Scientist, Data Research for a full-time role focused on independent research and development of advanced ML/AI and predictive analytics solutions for operational and business challenges. The work includes analyzing large datasets, building mathematical models and simulations, and leading innovation from proof-of-concept through deployment. A PhD and four to eight years of combined research and industry experience are required.
Responsibilities:
- Conduct independent ML/AI and predictive analytics research and validation
- Analyze large complex datasets to identify performance drivers
- Develop mathematical models, simulations and digital twins
- Support pilot testing and deployment of AI-enabled solutions
- Communicate technical findings to specialists and leadership
Requirements summary:
- PhD in data science, engineering, computer science or applied mathematics
- Four to eight years combined research and industry experience
- Expert proficiency in Python
- Experience with PyTorch, TensorFlow and SciPy
Tools & skills
Source and dates
Job-board feed · saskjobs
- Employer posting date
- 2026-10-26
- First seen by our source
- 2026-10-27
- Source record updated
- 2026-10-27
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 4+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (required) |
| Fields of study | Data science, Engineering, Computer science, Applied mathematics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Cameco Corporation-Saskatoon
| Field | Value |
|---|---|
| Open jobs on Jobsy | 58 |
Description
In this role, you will:
-Conduct independent research and develop and validate advanced ML/AI, and predictive analytics solutions to address complex operational and business challenges.
-Collaborate with BTS, Operations, Engineering, and external research partners to translate business opportunities and technical challenges into practical, data-driven solutions.
-Analyze large, complex, and diverse datasets to identify trends, risks, performance drivers, and opportunities for operational optimization and value creation.
-Develop and apply mathematical models, process simulations, optimization algorithms, digital twins, and advanced decision-support tools.
-Create clear and compelling visualizations, technical reports, and presentations that effectively communicate methodologies, assumptions, findings, limitations, and recommendations.
-Support the pilot testing, implementation, monitoring, and continuous improvement of analytical models and AI-enabled solutions within operational environments.
-Lead innovation initiatives from concept development and proof-of-concept through pilot execution, technology validation, and operational deployment.
-Support technology strategy development, research collaborations, intellectual property generation, and long-term technology roadmaps.
-Communicate technical insights and recommendations effectively to both technical specialists and leaderships, enabling informed decision-making and technology adoption.
Required:
-PhD in data science, engineering, computer science, applied mathematics, or a related discipline;
-four to eight years of combined academic research and industry experience developing advanced data models, AI solutions, ML applications, simulation tools, or computational analytics;
-expert proficiency in Python and modern AI/ML frameworks and libraries, including PyTorch, TensorFlow, SciPy, and related data science ecosystems
Journal
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