
Principal Data Scientist - Simulation & Techno-Economic Optimisation
- Perth, WA
- Permanent
- Full-time
- 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.
- 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.