RESP Energy Forecasting Analyst - ESO

National Grid
Warwick
7 months ago
Applications closed

Job Purpose

The National Energy System Operator (NESO) has been given an exciting new role of Regional Energy Strategic Planner (RESP) for GB. RESP will support coordinated development of the distribution energy system and enable long-term investment to be made with confidence and ahead of need. The RESP will be developed to be "whole system", shaped by a strong place-based understanding and coordinating development across multiple vectors (electricity and gas – but also potentially heat, hydrogen, and so on,). RESP will ensure coherence between regional and national net-zero ambitions/plans.

We are now recruiting for the team to lead and develop the RESP role. It’s a great opportunity to join us as we set out to help decarbonise the UK in a local community-based way.

As aRESP Energy ForecastingAnalyst, you will play a crucial role leading the development and modelling of short and long-term regional energy pathways/scenarios that show energy supply and demand projections across GB. These will be key to enabling long-term confident investment in both gas and electricity distribution energy networks. You will also play a key role leading collaborative work with a wide range of stakeholders to develop and agree consistent and transparent planning assumptions such as approaches to energy forecasting across the distribution energy system, covering electricity, gas, hydrogen supply and demand and other key areas.

As an analyst you will build up an understanding of different parts of the energy industry, conduct your own analysis and modelling of what is likely to happen in future, and then help other people understand what you've found.

This RESP Energy ForecastingAnalystposition will provide you the opportunity to shape and pioneer some new approaches. The role will be highly visible within the Electricity System Operator (ESO) as well as with the wider industry, giving you an opportunity to engage with a wide range of stakeholders. Therefore, great communication and stakeholder management skills are crucial.

If you have a numerical/statistical background combined with adequate programming/coding experience (e.g. Python, R, BI, GIS or any other analytical/data coding language) gained in a wider energy planning or industry sectors like energy consumers (heat, transport, industry, commercial energy, consumer policy), or transport this might be the perfect fit for you!

This role can be based from Warwick, 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 us

As Great Britain’s electricity system operator (ESO), we sit at the heart of the electricity system, using our outstanding engineering and commercial expertise to balance electricity supply and demand. Ultimately, we keep the electricity flowing directly to where it’s needed, second by second.

Becoming the National Energy System Operator

In Summer of 2024, the ESO will transition to becoming the National Energy System Operator, or NESO for short. Previously denoted as the Future System Operator (or FSO), the new National Energy System Operator will be 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, will be 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 the energy system and its users’ need. 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 will be 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 the ESO are today, 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.

The time to deliver is now. As part of our team, you won’t just be touching the lives of almost everyone in Great Britain – you’ll be shaping the way we use and consume energy for generations to come.

Key Accountabilities

The RESP Energy Forecasting Analyst will have the following key responsibilities:

You will create new processes to develop regional whole energy supply and demand pathways/scenarios from a wide range of local energy datasets and ensure coherence between both regional and national net-zero ambitions You will undertake scenario modelling and analysis to develop future whole energy supply & demand projections across the RESP regions. You will lead the development of consistent planning assumptions and approaches with energy experts across the industry in areas such as whole energy forecasting Engagement with external stakeholders through bilaterals and workshops to inform your modelling, analysis and processes Proactively monitor the evolving discussion around net zero decarbonisation by liaising with key stakeholders attending conferences and benchmarking modelling against external publications Identifying areas of improvement and sharing best practice both within the team and externally.

About you

The RESP team need a wide range of knowledge and experience that are unlikely to be found in a single individual. The range of knowledge and experience we are looking for is: 

Experience of energy planning especially at electricity or gas distribution network level.Strong analytical skills. Able to identify, extract and analyse large complex datasets across energy generation, demand Ability to undertake research using diverse sources and filter for important developments, including reading publications and policy papers, attending conferences, meeting and interviewing key stakeholders across different sectors of the economy, and keeping up to date with news on technological and social developments Experience of communicating with, and influencing, internal and external stakeholders Experience using a range of analysis software or programming languages such as Excel, SQL, R, GIS or Python Degree in STEM, Statistics, Economics, Data Science, or other relevant data analytics qualifications or industry experience.

What you'll get

A competitive salary between £51,000 - £61,000 per annum – dependent on experience and capability. 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 we will double match your contribution to a maximum company contribution of 12%.

As we work towards creating a cleaner, greener, and more affordable future for all, we also work towards creating a place for our teammates to belong, with professional and personal growth and positive well-being.

Full support and career-development resources to expand your skills, enhance your expertise, and maximise your potential along your career journey. A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table. Generous Total Rewards Plan – comprising of health, finance and wealth, work/life balance, and career benefits.

More Information

This role closes on 20th October 2024 at 23:59, however we encourage candidates to submit their application as early as possible and not wait until the published closing date as this can vary.

We work towards the highest standards in everything we do, including how we support, value and develop our people. Our aim is to encourage and support employees to thrive and be the best they can be. , and welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office. 

We're committed to building a workforce that represents the communities we serve, and a working environment in which each individual feels valued, respected, fairly treated, and able to reach their full potential.

#LI-EM1

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.