National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist - 18 month FTC

Octopus Energy
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Centre for Net Zero (CNZ)is a not-for-profit, impact-driven energy research institute, founded by the Octopus Energy Group. Operating autonomously, our goal is to accelerate the journey to a fully sustainable, global energy system.

While technology is transforming the energy sector, both modelling and policymaking are typically based on data from the past. By contrast, CNZ can access unprecedented insight into future human behaviours by leveraging Octopus Energy’s global customer base. We design and run research and field trials around the world to generate and democratise data about the future energy system.

We are seeking anEconomist/Data Scientistto join our Trials and Analysis team at the Centre for Net Zero (CNZ) for an 18-month fixed-term contract. CNZ operates a hybrid working arrangement, where most colleagues come to the office 2-3 times per week.

The Trials and Analysis team leads the design and delivery of field trials and quasi-experimental analyses, in collaboration with a range of delivery partners – including companies within the Octopus Energy Group, such as Octopus Energy Limited, the largest electricity supplier in the UK, Octopus Electric Vehicles, Octopus Electroverse, and Octopus Energy Group companies supplying energy to consumers in France, Spain, Italy, Japan, Texas, and other markets; as well as external partners such as the National Energy System Operator and OVO Energy.

The main responsibilities of this role include the design and analysis of various randomised control trials (RCTs) and quasi-experimental analyses related to low carbon technology adoption, automation, energy flexibility, and the intersection of these topics. In turn, our vision is that this research shapes policy for the better.

What you'll do

  • Trial design:Designing field trials and drafting pre-analysis plans, often in close collaboration with delivery partners within and outside Octopus Energy Group – this requires a pragmatic approach given the commercial sensitivity of the data we work with and the interventions we evaluate.
  • Implementation:Working closely with a project manager on our team to help the delivery partner(s) deliver the trial in a way that maintains fidelity to the pre-analysis plan and enables rigorous analysis once complete.
  • Data analysis:Carrying out data analyses of our field trials as well as conducting quasi-experimental analyses, structuring these analyses to turn them into high-quality reporting.
  • Reporting:Contributing to and leading the write-up of these analyses into academic papers and accessible, policy-facing materials. At CNZ, this phase of a project is especially collaborative, involving one or more rounds of feedback from other members of CNZ.
  • Partner engagement:Liaising with partners, managing and coordinating implementation across partners, and communicating updates to key partners and external stakeholders.

In summary, we are looking for someone who has the intellectual capacity to perform and report high-quality analyses for diverse audiences. CNZ prioritises collaboration and distributed decision-making with technical and non-technical staff across the organisation at all stages of research and reporting. You will work closely with a range of members of CNZ – other researchers in CNZ’s Trials and Analysis team, as well as the Director of the team and our Chief Economist; project managers who liaise with partners and assist you in ensuring the fidelity of implementation to the pre-analysis plan; CNZ’s External Affairs team, to package our analyses into high-quality reporting and relevant recommendations; and CNZ’s leadership team, to ensure our research delivers as much impact as possible.

What you'll need

  • Experience designing and analysing randomised controlled trials.
  • Experience managing multiple simultaneous projects, with an ability to prioritise and adapt to changing circumstances.
  • Experience handling and analysing large amounts of data, using clear, maintainable code, ideally in R or Python.
  • Experience communicating coherently and handling multiple stakeholders.
  • Experience delivering research collaboratively as part of a larger team.
  • Experience setting up and analysing quasi-experimental designs (such as staggered difference-in-differences and regression discontinuity designs).
It would be great if you also have…
  • Experience working in energy is great, but not critical – we’re looking for curiosity and an eagerness to learn more about the energy industry.
  • Experience writing accessible, policy-facing summaries of research.
  • Experience in empirical industrial organisation or public finance.
  • Experience working directly with policymakers as well as academics.
  • Facility using SQL to wrangle and process data.

Sounds good, what's next?

  • We recommend to apply soon as you can, asapplications will close on January 1st 2025. Once you’ve submitted your application, our Talent team will review and provide feedback—along with details about the next steps, if you’re successful. We plan to make an offer in January 2025, with a flexible start date to suit your schedule.

Here’s what to expect, if you're successful:

  • An initial callwith our Talent team to discuss your experience, motivations & the role within CNZ.
  • Task & interview:You’ll complete a task, followed by an online interview with the CNZ team to go over your findings.
  • Final interview:Either on-site or virtual, depending on your location and availability.

Wondering what the salary for this role is?Just ask us! On a call with one of our recruiters, it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!

Octopus Energy is aunique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We wonbest company to work forin 2022, on Glassdoor we were voted50 best places to work in 2022and our Group CEO, Greg has recordeda podcast about our cultureand how we empower our people. We’ve also been placed in thetop 10 companies for senior leadership.

Visit our UK perks hub -Octopus Employee Benefits.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.