The Role
We are looking for a highly skilled and experienced data scientist to lead the development of our optimisation engines.
Key Responsibilities
This role sits at the heart of our work on calculating safe, real-time capacity for distributed energy resources within network constraints. You will be responsible for formulating constrained optimisation problems, implementing algorithms, and building systems that run in real-time or near-real-time operational contexts.
What You Will Do
- Develop optimisation algorithms and engines for dynamic operating envelopes that manage DER capacity within network constraints.
- Formulate and solve constrained optimisation problems across grid operations, resource dispatch, and network management.
- Design solutions that balance competing objectives - safety, efficiency, customer impact, and operational constraints.
- Collaborate with the grid modelling team to translate network models into tractable optimisation formulations.
- Build optimisation systems that perform reliably at operational timescales.
- Contribute to technical strategy and help establish best practices for optimisation development, validation, and monitoring.
What We Are Looking For
* Strong data science foundations: statistical modelling, experimental design, model validation, feature engineering, ML techniques.
* Deep optimisation expertise: constrained optimisation, operations research, linear programming, convex optimisation, mixed-integer programming, model predictive control, or metaheuristics.
* 5+ years in data science, ML, or optimisation roles, with demonstrated impact at a senior or staff level.
* Python proficiency and the ability to write quality code for optimisation algorithms and analysis.
What Would Set You Apart
* Understanding of electrical distribution networks, power systems, and grid physics.
* Experience with market dispatch, energy economics, or resource scheduling problems.
* Software engineering depth - system design, testing, deployment, MLOps.
* Familiarity with optimisation solvers and frameworks (Pyomo, Gurobi, CPLEX, CBC, OR-Tools, etc.).
* Real-time or near-real-time optimisation system experience.
* Understanding of DER integration challenges and VPP operations.
What We Offer
* A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter.
* Remote-first, with head office in Sydney.