Energy Analyst
Core
Develop and productionise time series forecasting and optimisation models (stochastic optimisation, dynamic programming, LP/MILP) for power market fundamentals to support trading desk decision-making.
Role type
Senior IC data scientist (power market forecasting & optimisation)
Builds
Production ML models and optimisation frameworks for power, gas, and weather data
Domain
Energy trading / Power markets
Deliverable
production ML models
Required skills
Python (Pandas/NumPy/SciPy/Scikit-learn), SQL, stochastic optimisation, dynamic programming, LP/MILP, cloud architecture (Azure/AWS), data pipeline design
Preferred skills
Algorithmic complexity theory, parallelism & concurrency, Kafka/Azure Event Hubs, Kubernetes, linear algebra, calculus, discrete mathematics
Responsibilities
Prepare, process, clean, and visualize power, gas, and weather data sets; Develop and validate forecasts for demand, wind, solar, and prices; Build frameworks to deploy models in production for daily trading decisions; Develop in-house optimisation models (stack, dispatch); Lead modelling and infrastructure projects with IT and modelling teams
Seniority
Senior, hands-on IC
