Hybrid Data Scientist – Energy Trading & Battery Storage

Habitat Energy; Oxford; Híbrido; GBP 65 000 - 90 000; Tempo integral

Resumo da oferta

Habitat Energy in Oxford is hiring an Applied Data Scientist to support battery storage trading across wholesale markets, Balancing Mechanism and ancillary services. You will collaborate with analysts and traders to develop market forecasts and productionise models.

You will engineer features from complex datasets, build scalable predictive models, visualize insights for quick risk decisions, and help automate trading workflows. We offer a hybrid work model and strong development opportunities.

Qualificações

• Time-series modelling knowledge (e.g., ARIMA, SARIMA) and tree-based models like XGBoost/LightGBM are relevant.
• Strong Python production experience (3+ years) with data tooling and testing.

Responsabilidades

• Develop market forecasts for trading teams across wholesale electricity and ancillary services.
• Build, test, and scale predictive models to forecast prices, volumes and value.
• Engineer high-value temporal features from complex datasets and support productionisation.

Descrição da oferta de emprego

Habitat Energy in Oxford is hiring an Applied Data Scientist to support battery storage trading across wholesale markets, Balancing Mechanism and ancillary services. You will collaborate with analysts and traders to develop market forecasts and productionise models.

You will engineer features from complex datasets, build scalable predictive models, visualize insights for quick risk decisions, and help automate trading workflows. We offer a hybrid work model and strong development opportunities.