ABOUT US

Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

QUALIFICATIONS AND EXPERIENCE

• PhD or Master’s degree in Data Science, Engineering, Applied Mathematics, Energy Systems, or a related field
• 8+ years of experience in advanced data science, machine learning, or computational modelling, ideally in energy, resources, or process industries
• Proven expertise in simulation-based optimisation, surrogate modelling, and large-scale data integration
• Strong proficiency in C++, Python strongly preferred
• Strong experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenAI).
• Familiarity with AWS desired
• Demonstrated experience linking engineering/physical models with techno-economic analysis.
• Familiarity with renewable energy systems, hydrogen, or metallurgical processes (advantageous).
• Excellent leadership, collaboration, and communication skills, with the ability to influence and align diverse stakeholders.

• Lead development of advanced simulation and ML-driven frameworks for renewable energy and green iron
• Mentor and guide teams in modelling, data quality, and uncertainty management
• Translate technical insights into clear recommendations for senior leaders
• Create hybrid models combining simulation, optimisation, and machine learning
• Apply ML to speed up simulations, identify cost drivers, and optimise systems
• Build models linking renewable energy, hydrogen, electrolysers, and green iron production
• Integrate engineering, cost, and financial data into unified decision-support tools
• Run scenario analyses and sensitivity studies to guide investment and delivery
• Drive innovation with digital twins, surrogate models, reinforcement learning, and partnerships
• Collaborate across teams, promoting transparency and communicating results effectively.