Data Scientist
At a glance
Mid-level Data Science role at JABARI. London · no salary stated · we estimate £62,250–£94,375.
JABARI has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Identify useful inputs for trading in the GB intraday electricity market, including internal and outside data
- Build and refine forecasts for power demand and renewable output, starting in Great Britain and extending across Western Europe
- Find new, dependable data sources and develop the forecasting framework and tools
- Automate forecasting workflows, add checks and alerts, then use the models to improve price predictions
- Work with trading, renewables and flexibility colleagues to combine their expertise and data
What you bring
- You need hands-on Python experience and practical machine-learning experience
- You can choose forecasting methods, create a basic benchmark and improve it through quick iterations
- You can explain your methods clearly, including where they work well and where they fall short
- You can pick up commercial and industry concepts quickly
Who this fits
This mid-level role suits a data scientist who wants ownership across varied projects and tools, and is keen to contribute to Net Zero work. Great Britain electricity-sector experience is useful, but not required.
From the employer
⚪ 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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