Work Location: Perth - Fortescue's Perth office is located on the traditional lands of the Whadjuk people

Roster: Monday to Friday 

Fortescue is transforming its business through Artificial Intelligence, bringing our unique culture of innovation and leading through doing to transform our asset and employee productivity. The key mission of this role will be to design, develop and deliver the optimisation algorithms driving the AI solutions & systems that transform the capability and coordination of one of the largest vertically integrated mine, rail and port operations in the world.

The right candidate will bring a strong curiosity and technical perspective to these challenges, including a depth of experience in combinatorial optimisation and algorithm design, along with a drive for delivering outcomes and working software in cross-functional teams.

• Lead the design, development and implementation of optimisation algorithms and models that drive the AI systems to drive productivity in our integrated supply chain operations.
• Establish monitoring systems to track the performance of optimisation algorithms and models, and opportunities for improvement.
• Maintain the backlogs for AI solution development and collaborating with cross-functional teams to prioritise their development.
• Establish and maintain operations research best practice, including model formulation and algorithm design to support functional requirements.
• Stay up to date with developments in OR, in particular the intersection with AI systems, and incorporate emerging techniques and technologies into our design.
• Communicate the basis, impact and value of AI systems to a broad range of stakeholders, including senior leadership.
• Mentor junior data scientists and optimisation specialists and help support the capability development of operations research across Fortescue.

• An advanced degree in computer science, mathematics, statistics or engineering.
• Experience (7+ years) in operations research & optimisation system delivery in the mining, transport or heavy industry sector.
• Deep understanding and practical experience in applying combinatorial optimisation and heuristic techniques to scheduling problems, including decision-making under uncertainty.
• Exceptional analytical and problem-solving skills and a passion for mathematical modelling of real-world systems.
• Strong knowledge of optimisation tools and technologies (i.e. CPLEX, Gurobi).
• Proficiency in general programming languages and integration into larger software systems (i.e. C++, Python).
• Proven ability to coach, mentor and develop junior team members.
• Strong written and verbal communication skills, with the ability to communicate complex AI algorithm and system concepts to a broad range of stakeholders.
• Familiarity with machine learning and statistical analysis, and an interest in the intersection of OR and AI techniques (beneficial).

Be part of something big. Fortescue is leading the world with our plan to decarbonise our iron ore operations, projects that harness renewable energy and the development of technology that will change our planet forever.

Fortescue celebrates individual strengths and team members are encouraged to bring their whole selves to work. Our global workforce drives and promotes an inclusive culture, both within our organisation and throughout the communities we interact with. Diverse backgrounds include First Nations Peoples, people with disabilities, LGBTQ+ community, gender, neurodiverse, cultural diversity, all age groups, and those with an intersectional or multiple diverse characteristics. We encourage candidates from all backgrounds to apply.

https://fortescue.com/careers 

Internal Candidates / Current Contractors please apply via Success Factors Careers Portal. For further information on how to apply please visit the Fortescue Hub. 

Fortescue reserves the right to close applications early should a suitable pool of candidates be identified. Fortescue will never contact you to ask for payment of any kind, whether directly or through a third party.