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

Apply Now

Data Scientist - NESO

National Energy System Operator
Wokingham
1 week ago
Create job alert

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


About the role

National Energy System Operator (NESO) is on a journey towards a sustainable and secure energy future. We are building on momentum to advance the Electricity System Operator’s plan for a zero carbon operability of the electricity system by 2025.


Are you a passionate Data Scientist eager to make a tangible impact on the future of Great Britain’s energy landscape? Join us in transforming the electricity system into a cleaner, greener network for generations to come. This is an exciting opportunity to apply your expertise in a real‑time dynamic environment where innovation and insight drive operational excellence.


As a Data Scientist, you will be at the forefront of developing and optimising critical data tools used by our Short‑Term Strategy team. Your work will directly empower the electricity control room to identify, resolve, and gain crucial insights into system operational issues, helping to reduce risk and minimise costs. You’ll be instrumental in designing and developing scalable, user‑friendly data tools that provide essential operational analysis.


You will be a key player in our established Azure Analytics Environment, leveraging Python, SQL, and Power BI to enhance processes and build intuitive user interfaces. This role demands a passion for process improvement, a deep understanding of the energy sector, and organisational and communication skills to engage effectively with stakeholders at all levels.


You will work on a rota covering a weekend every 6 weeks in our Wokingham office, requiring regular attendance.


Key Accountabilities

  • Innovate & develop: Identify and seize opportunities for improvement within our existing tool suite, working collaboratively with the team to understand requirements and implement cutting‑edge solutions.
  • Predictive Modelling: Develop robust models to accurately forecast electricity margins and ensure energy security.
  • Advanced Analytics: Design and implement sophisticated analytics to extract meaningful patterns and trends from diverse datasets, turning complex data into actionable intelligence.
  • Strategic Communication: Develop and clearly communicate operational strategies internally to drive informed decision‑making.
  • Enable & train: Actively train and support team members on new tool developments and programming techniques, fostering a culture of continuous learning and data literacy.
  • Cross‑functional Collaboration: Partner with cross‑functional teams to ensure data tools consistently meet critical operational needs.

About You

  • Holds a degree in a relevant field such as Statistics, Computer Science, Physics, Data Science or Engineering.
  • Brings experience in process and/or tool development focused on data‑based processes.
  • Possesses essential expertise in programming languages like Python, SQL, and VBA.
  • Has proven experience using Power BI to create intuitive user interfaces for data analysis.
  • Excels at translating complex quantitative data into clear, compelling narratives for diverse audiences.
  • Is familiar with Azure cloud computing environments.
  • Demonstrates excellent stakeholder engagement skills, capable of liaising effectively with internal teams and external partners.
  • Can work both independently, taking initiative, and collaboratively as a valued team member.

While we welcome candidates from diverse backgrounds, experience in energy, gas, renewables, utilities, or technical/engineering sectors such as manufacturing, aviation, scheduling, or rail operations, or other industries with complex operational or scheduling requirements would be highly advantageous.


About What'll Get

A competitive salary between £54,000 – £65,000 per annum, dependent on experience and capability, plus a Weekend Allowance of approximately £6,250 per annum.


As well as your base salary, you will receive a bonus based on company performance, 26 days annual leave as standard, and a competitive contributory pension scheme where the company will double match your contribution to a maximum of 12%.


You will also have access to a comprehensive benefits package tailored to support your well‑being and professional success. From a competitive salary to flexible work arrangements, we promote your work‑life balance. Enjoy fit‑for‑purpose wellbeing and lifestyle offerings, ongoing skill development aligned to our Purpose and Values, and be part of a supportive community that values your individuality and where you can belong.


About The National Energy System Operator (NESO)

In Autumn of 2024, the ESO transitioned to National Energy System Operator, or NESO for short. Previously denoted as the Future System Operator (FSO), the new National Energy System Operator is the independent body responsible for planning Great Britain’s electricity and gas networks and operating the electricity system. The ESO, including all of its existing roles, are now at the heart of the new National Energy System Operator. As NESO, we will build on our existing roles, capabilities, and ways of working significantly to create an organisation that meets the energy system and its users’ needs. Our new capabilities will enable us to look across vectors, including electricity, natural gas and hydrogen, and crucially consider the trade‑offs between them.


The organisation is set up as a public corporation with its own board of independent directors, with complete operational independence from government, the regulator and any and all commercial interest. As was the ESO, NESO will be licenced and regulated by Ofgem through price control agreements and obligated to identify optimal solutions to system operations and planning in the most sustainable, affordable and secure way for all.


More information

This role closes on 1st December at 23:59.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.