Data Scientist

JABARI

Greater London

On-site

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

Octopus Energy Trading, part of Octopus Energy Group, is building trading tech to power a Net Zero future. We’re hiring a data scientist to bring together internal and external data, build forecasting models for electricity demand and renewables in GB, and scale to Western Europe.

You’ll develop data pipelines, improve forecasting frameworks, automate processes, and work with Trading, Renewables, and other teams to deliver market-leading insights using Python and ML techniques.

Qualifications

  • Experience with Python and ML techniques to build forecasting models.
  • Ability to design and iterate forecasting approaches for demand and generation.
  • Ability to communicate methodology and limitations to stakeholders.
  • Comfort with quickly understanding industry concepts and commercial context.
  • Team player with ownership across multiple projects.

Responsibilities

  • Exploring data needs to trade the GB intraday power market.
  • Building, improving and maintaining models to forecast electricity demand and renewable generation (GB, expanding to Western Europe).
  • Finding high quality, novel data sources to form forecasts.
  • Developing forecasting framework and tools.
  • Maintaining and automating forecasting processes with checks and alerts.
  • Using forecasting models to build or enhance price forecasts.
  • Collaborating with Trading, Renewables, Flexibility and other teams to share insights.

Skills

Python
Machine Learning
Forecasting
Data pipelines
Communication

Job description

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.

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