Women in Trading - Data Scientist

London, United Kingdom

Full Time

Posted October 8, 2026

Application opens on company website

Source: Lever View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 8, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Management
Pay provenance: Pay not available

Supporting women in Trading in the energy industry:

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 our 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.
Developing software and front end systems within our small team.

Proficiency in Python;
A good understanding of what forecasting techniques to use and the 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 impact across varied projects;
Passion for driving towards Net Zero;
Keen to see your models deployed and impacting real-world operations;
Hands-on experience applying Machine Learning techniques;
Experience in the electricity industry in GB would be useful but not required.