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Octopus In Colour Internship 2026 - Forecasting Data Scientist

London (gb)Internshipentry

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Overview

Addressing Black Representation in the Energy IndustryAt Octopus Energy, our mission is to drive the global renewable revolution and make green energy affordable for all. In order to succeed,

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Data ScienceOtherData ScientistDataInternship

Addressing Black Representation in the Energy Industry

At Octopus Energy, our mission is to drive the global renewable revolution and make green energy affordable for all. In order to succeed, we need to build a team that represents everyone in our society. Unfortunately, Black professionals make up < 2% of the energy workforce, which is a significant under-representation compared to the ethnic composition of the UK. To help address this, we have created an internship programme that is only open to candidates who identify with any Black, Black British, African or Caribbean background. We are committed to promoting equality, and this internship is an important step in our effort to foster greater diversity and inclusiveness in our business and industry.

Applications for all our internships will close on the 27th April. Please do not upload a CV when asked for 'Resume/CV'.... instead, upload a cover letter made up of no more than 500 words (instructions below) 💚

This is our sixth year running the internship programme. You can hear from our past interns and learn about our previous internships.

Location: London office

Duration: Full time, 6th July-28th August

Pay: £28,000 (pro rata)

Application deadline: April 27th, 2026

The Role

As a Forecasting Data Scientist intern you’ll be joining a small team of 5 who forecast the energy needed for the business (both demand & generation) as part of our wider Energy Markets function. As part of the team you’ll be helping to forecast energy for over 12 million accounts across gas and electricity, serving 7 million households.

The team is responsible for building and maintaining time-series forecast models, data pipelines and data insights within the forecasting function. Forecasts ultimately get used by the Trading & Risk teams.

Day to day you’ll spend most of your time coding and could be working on anything from: creating a new forecast for wind sites or a segment of our customer portfolio; adding new functionality to our forecasting dashboards; testing our data to try to find new useful features to train our forecast on or researching new machine learning techniques to use in our pipeline.

You will work alongside data scientists, engineers, analysts and traders to maintain and develop our forecasting capabilities. You will learn:

Data science skills (python, data wrangling, data visualisation)

Machine Learning methods (model types, workflow, metrics)

Data engineering principles (sql, version control, ETL)

Context around the Wholesale Energy Market

We're looking for someone with a general interest in the energy industry or net-zero; someone diligent and thoughtful. You do not necessarily need any formal education in programming or computer science but you should be able to demonstrate a reasonable level of ability and interest. We’re looking for applicants with basic skills in Python, strong numerical skills and a passion for solving problems. It would be a bonus, but is not a requirement, to have experience with SQL.

Above all, we’re looking for someone who thrives on providing alternative opinions, challenging those around them and being challenged. If this sounds like you and you have a genuine passion for what we are doing then we'd love to hear from you!