Renewable Energy Optimisation Specialist

3 days ago

Perth, Western Australia beBeeData Full time $180,000 - $230,000
Simulation Driven Data Scientist

Fortescue is a global green solutions business, recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

We are seeking a talented Principal Data Scientist to play a pivotal role in advancing our renewable energy and green iron initiatives. The successful candidate will lead the design, development, and application of simulation-driven machine learning approaches that optimise techno-economic performance across large-scale renewable and green industrial projects.

About the Role
  • 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.
What You'll Need
  • 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.
About Us

Fortescue values diversity and promotes an inclusive culture within our organisation and communities we interact with globally. We encourage candidates from all backgrounds to apply.

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