Data Scientist/Analyst - NESO

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.

• 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

• 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.

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

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.