Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist/Analyst - NESO

National Energy System Operator
Warwick
1 day ago
Create job alert
Overview

Join to apply for the Data Scientist/Analyst - NESO role at National Energy System Operator.

The National Energy System Operator (NESO) is recruiting Data professionals to join the RESP Digital and Data team. These roles are critical to enabling the creation of RESP products by applying data expertise directly within multidisciplinary squads. These roles will be key parts of the Data Community to ensure data is robust, usable, and impactful. This role can be based from Warwick or Wokingham, and we continue to offer hybrid working from office and home. We are open to full time and part time applicants, as well as flexible working arrangements.

About NESO

The creation of National Energy System Operator (NESO) is driven by an urgent need to unify and optimise our approach to energy. NESO acts as the independent body responsible for planning Great Britain’s electricity and gas networks and operating the electricity system. NESO aims to build on existing roles and capabilities to enable a broader view across electricity, natural gas and hydrogen, considering trade-offs between them. NESO is a public corporation with its own Board of independent directors, independent from government and the regulator. NESO will be licensed and regulated by Ofgem and will identify optimal solutions to system operations and planning in a sustainable, affordable and secure way for all.

Join us and empower your potential, energise our team, and be part of something bigger. Your energy, our future, together.

Key Accountabilities
  • Collaborate with product teams to scope, ingest, and curate data that supports product development and delivery
  • Translate complex data requirements into actionable insights and visualisations using tools such as Power BI, Python, and GIS platforms
  • Support the ongoing development of digital tooling and data flows that underpin RESP products, including documenting processes and procedures
  • Enable the design and iteration of data identification and ingestion processes, ensuring traceability and alignment with RESP methodology
  • Engage with regional teams to understand local data contexts and integrate these into national products
  • Participate in agile sprints and workshops to refine data needs and support iterative product development
About You
  • Data Analysis & Programming: Proven ability to write and execute queries and scripts for data analysis using SQL and/or Python (including libraries such as Pandas/GeoPandas). Comfortable cleaning, transforming, and analysing large, complex datasets from a central data platform.
  • Data Storytelling & Visualization: Experience translating quantitative data into clear narratives. Skilled at creating visualizations (charts, maps, graphs) to support regional teams in presenting findings to stakeholders.
  • Analytical Problem-Solving: Track record of turning broad, strategic questions into specific, actionable analytical tasks. Able to work autonomously to explore data and uncover trends addressing regional challenges.
  • Stakeholder Communication: Excellent communication skills with experience collaborating within a multidisciplinary team and supporting data presentations to non-technical audiences.
  • Agile Methodologies: Comfortable working in an agile environment, participating in sprints, and contributing to iterative data product development.
What You’ll Get

A competitive salary between £48,000 - £58,000 per annum, dependent on experience and capability. In addition to base salary, a bonus based on company performance, 26 days annual leave, and a contributory pension scheme with company matching up to 12%.

We support professional and personal growth, promote well-being, and foster an inclusive culture where teammates are empowered to contribute ideas.

  • Full support and career-development resources to expand skills and maximise potential
  • A diverse and inclusive community of belonging
  • Generous Total Rewards Plan covering health, finance, work/life balance, and career benefits
More Information

This role closes on 23rd October 2025 at 23:59. We encourage applicants to submit early as closing dates can vary.

We are committed to building a workforce that represents the communities we serve and to providing a welcoming, respectful, and inclusive environment for all employees.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist/Analyst - NESO

Data Scientist/Analyst - NESO

Growth Data Scientist/Analyst

Product Data Scientist/Analyst

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.