Job Category: Engineering
Location: Saskatoon
Work Contract: Reg Full-Time (K1)
At Cameco we understand the value of a diverse workforce and we embrace, encourage and support workplace inclusion and diversity. New ideas, perspectives, experiences, and expertise make Cameco stronger. We are committed to building a diverse workforce reflective of the communities we operate in. Our vision is to create a culture where inclusion is the goal, and a diverse and representative workforce is our measure of success. Cameco is committed to providing an inclusive selection process, free from systemic barriers. support employment equity and encourage all members of underrepresented groups (i.e., women, Indigenous peoples, persons with disabilities and members of racialized groups/visible minorities) to voluntarily disclose. Cameco welcomes applicants from all backgrounds, abilities, and experiences to apply.
About Us
Cameco is one of the largest global providers of the uranium fuel needed to power a secure energy future. Utilities around the world rely on our nuclear fuel products to generate safe, reliable, emissions-free nuclear power. Cameco’s corporate office is based in Saskatoon. We have mining operations and projects in northern Saskatchewan, Kazakhstan, the United States and Australia. We are also a leading supplier of uranium refining, conversion, and fuel manufacturing services from our operations in Ontario.
The Role
We are seeking a highly accomplished scientist, data research, to join the Technical Services (TS) department based at Cameco's corporate office in Saskatoon. In this role, you will lead independent research on application of advanced data analytics, machine learning (ML), artificial intelligence (AI), and mathematical modeling solutions to address complex operational and strategic challenges across Cameco's business.
This position combines applied research, scientific innovation, and technology deployment, requiring deep expertise in AI, computational modeling, simulation, optimization, and industrial analytics. The successful candidate will collaborate closely with Business Technology Services (BTS), Operations, other business units, external technology partners, and leading academic institutions to transform data into actionable insights and develop next-generation decision-support capabilities.
As a recognized subject matter expert, you will identify and evaluate emerging technologies, lead high-impact research and innovation initiatives, and support the advancement of Cameco's technology strategy through the practical application of data science, AI, and advanced modeling techniques.
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;
- strong understanding of advanced statistical methods, AL algorithms, optimization techniques, and predictive analytics;
- experience developing, validating, deploying, and maintaining analytical, simulation, and machine learning models in real-world environments;
- demonstrated ability to translate complex business and technical challenges into practical, data-driven solutions;
- exceptional analytical, problem-solving, interpersonal, and written communication skills;
- proven ability to work independently and collaboratively within multidisciplinary operational, engineering, technology, and research teams;
- ability to effectively communicate complex technical concepts and recommendations to both technical specialists and executive leadership; and
- willingness to travel periodically to Cameco operations, including northern Saskatchewan sites.
Recommended
- experience working within mining, manufacturing, energy, or other industrial and process-driven environments;
- experience leading or participating in collaborative research initiatives with universities, research institutions, technology vendors, and industry partners;
- knowledge of numerical modeling and simulation methods, including finite element analysis, optimization, and computational modeling techniques;
- knowledge of industrial control systems, instrumentation, sensors, automation, operational technology (OT), and industrial data architectures;
- familiarity with industrial data acquisition, historian platforms, edge computing, and advanced analytics applications in asset-intensive industries; and
- understanding of operational workflows, decision-making processes, and technology adoption challenges within complex industrial environments.
Cameco is proud to offer a competitive total reward package which includes:
- competitive compensation program with base and variable pay;
- flexible health, drug, dental, and vision plan with a health spending and personal spending account;
- fixed benefits including employee and dependant life, AD&D, disability benefits and paid vacation leave;
- Employee and Family Assistance Programs;
- RRSP and RPP matching program;
- career development opportunities; and
- relocation costs.
Cameco is an employment equity employer and aims to achieve gender parity, and as such, preference will be given to qualified members of equity groups. We are strengthened by the diverse backgrounds of experiences and encourage applicants with various levels of expertise to apply, as equivalent combination of education and work experience are considered.
You will have the opportunity to work a hybrid work schedule with regular weekly presence in the Saskatoon office and intermittent travel to site. The details of this flex work arrangement will be discussed with you in the recruitment process.
This position is eligible for the employee referral bonus.
Req ID #
: 42685
Posted: October 27, 2026
Posting end date: November 17, 2026
Salary Range: $124,800 - $156,100
The physical and psychological safety of our employees is a top priority at Cameco. We invite candidates to voluntarily disclose accommodation requirements, if contacted in relation to a job opportunity. Information received will be addressed confidentially and Cameco’s Workplace Inclusion and Accommodation Program document is available upon request. Successful candidates for all positions that will work at Safety Sensitive Sites or Safety Sensitive Positions must take and pass a Substance Test, which includes marijuana, as a condition of employment. Marijuana remains in a user’s system for about 30 days, so applicants who recently used marijuana recreationally should not expect to pass a substance test.
