Data Scientist

NextGenEnergyJobs; Greater London; On-site; GBP 60,000 - 120,000; Full time

Job summary

Octopus Energy Trading is seeking a data scientist to improve forecasting models for GB intraday power markets. You will explore data needs, build and maintain models forecasting demand and renewable generation, and integrate data sources across Western Europe as needed.

You will collaborate with Trading, Renewables, and other teams, apply Python and machine learning, communicate approaches, and own multiple projects toward Net Zero.

Qualifications

• Experience with Python is essential.
• Experience with Machine Learning is essential.
• 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.
• Passion for driving towards Net Zero.

Responsibilities

• 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.

Skills

Python

Machine Learning

Forecasting

Communication

Ownership

Net Zero

GB electricity market knowledge

Job description

At Octopus Energy Trading, we’re on a mission to reshape the future of energy.

Key Responsibilities

• 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.

Requirements

• Experience with Python is essential;
• 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 ownership across lots of different projects and tools;
• Passion for driving towards Net Zero;
• Experience with Machine Learning is essential;
• Experience in the electricity industry in GB would be useful but not required.