Data Scientist

Octopus Energy Group

Greater London

On-site

GBP 70,000 - 110,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

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.

Qualifications

  • 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.

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 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
Forecasting techniques
Machine Learning
Data pipelines
Communication
Industry concepts
Team ownership

Job description

At Octopus Energy Trading, we’re on a mission to reshape the future of energy. As part of Octopus Energy Group, we’re creating an innovative approach to trading that will accelerate the transition to a Net Zero world. With the growth of renewables and a push toward decarbonising heating and transport, greater flexibility in the grid is essential. We are building cutting-edge technology to optimise everything from domestic EV charging to grid‑scale batteries, to meet the global demand for energy flexibility.

We’re looking for passionate and unconventional thinkers to join us on this journey, bringing a diversity of experience and ideas to shape a more efficient, flexible, and sustainable energy system.

With an increase in variable and distributed supply, using data for trading and forecasting has never been more important. Octopus has always had a tech‑first approach, and our trading and analytics tools are all built in‑house. We are looking for a data scientist who’s comfortable building data pipelines bringing together internal and external data to create market‑leading insights using both classical and ML techniques. This will include looking at demand, renewables and transmission system fundamentals forecasts focussed to begin with on the GB intraday power market.

What You’ll Do…
  • 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
What You’ll Need…
  • 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
If this sounds like you then we’d love to hear from you.

As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Data Scientist
Data Scientist

NextGenEnergyJobs • Greater London

On-site
GBP 60,000 - 120,000
Energy Trading Data Scientist – Forecasting & ML
Energy Trading Data Scientist – Forecasting & ML

NextGenEnergyJobs • Greater London

On-site
GBP 60,000 - 120,000
Energy Trading Data Scientist - Forecasting & ML
Energy Trading Data Scientist - Forecasting & ML

Octopus Energy Group • Greater London

On-site
GBP 70,000 - 110,000
Data Scientist
Data Scientist

Understanding Recruitment • London

On-site
GBP 60,000 - 80,000
Performance Analyst
Performance Analyst

Jobtailor • Greater London

On-site
GBP 45,000 - 60,000
Data Scientist
Data Scientist

Wave Group • Greater London

Hybrid
GBP 60,000 - 120,000
Data Scientist
Data Scientist

The Green Recruitment Company • Greater London

On-site
GBP 40,000 - 60,000
Power Analyst – Data Scientist
Power Analyst – Data Scientist

EDF Trading Ltd • Greater London

Hybrid
GBP 90,000 - 130,000
Hybrid working
Pension plan
Private medical insurance
+8
Head of Analytics - Commercial
Head of Analytics - Commercial

Octopus Energy • City of Westminster

On-site
GBP 90,000 - 130,000
Forecasting Analyst
Forecasting Analyst

SmartestEnergy • Greater London

Hybrid
GBP 65,000 - 90,000
Hybrid working
Work from anywhere up to 30 days/year