Energy Trading Data Scientist - Forecasting & ML

Octopus Energy Group; Greater London; Presencial; GBP 70.000 - 110.000; Jornada completa

Descripción de la vacante

Octopus Energy Group is seeking a data scientist to build data pipelines and forecasting models for the GB intraday power market, applying ML and classical forecasting techniques to deliver market-leading insights.

You will collaborate with Trading, Renewables, and Flexibility teams, driving data-driven decisions while supporting the transition to Net Zero through innovative energy solutions.

Formación

• Experience with Python is essential.
• Understanding of forecasting techniques and ability to build a simple baseline and quickly iterate.
• Ability to communicate your approach, including its strengths and limitations.
• Able to quickly understand commercial and industry concepts.
• Team player excited at the idea of ownership across multiple projects and tools.
• Experience with Machine Learning is essential.
• Experience in GB electricity industry is useful but not required.

Responsabilidades

• Exploring the types of data needed to effectively trade the GB intraday power market.
• Building, improving and maintaining models to forecast electricity demand and renewable generation, primarily in GB but developing into all of Western Europe
• Finding high quality, novel data sources to base forecasts off of
• Development on forecasting framework and tools
• Maintaining and automating forecasting processes, whilst building in checks and alerting
• Utilising these forecasting models to build or enhance our price forecasts
• Collaborating with Trading, Renewables, Flexibility and other teams to utilise our combined knowledge and data

Conocimientos

Python

Forecasting techniques

Machine Learning

Data pipelines

Communication

Industry concepts

Team ownership

Descripción del empleo

Octopus Energy Group is seeking a data scientist to build data pipelines and forecasting models for the GB intraday power market, applying ML and classical forecasting techniques to deliver market-leading insights.

You will collaborate with Trading, Renewables, and Flexibility teams, driving data-driven decisions while supporting the transition to Net Zero through innovative energy solutions.