Modelling Specialist

**Location**:Wokingham, GB, RG41 5BN

**Division**:NESO EMR Modelling

**Job Type**:Full Time

**Requisition Number**:68921

**Department**:ESO

**Job Function**:Strategy

**Description**:
**About the role**:
National Energy System Operator (NESO) recognises the potential of bright and talented individuals, and we encourage you to join us as Great Britain’s energy system undergoes an ambitious, exciting, and vital transformation. Together with industry, we are creating a cleaner, more sustainable energy future.

We are looking for a Modelling Specialist for the Energy Security Modelling team. The team play a pivotal role in ensuring the energy security of Great Britain. We develop cutting-edge modelling to provide expert advice on critical decisions related to security of supply, policy targets and future policy development.

You will have creative freedom to lead the development of new methodologies and enhancements that ensure our modelling and insight remains world leading and is fit for the future. You will also provide challenge and input to help steer the direction of a range of other projects across the team.

This is a unique opportunity to use your expert modelling capabilities to shape the future of our energy security. If you are highly motivated with strong experience in statistical or numerical modelling and have a passion for innovation, we encourage you to apply.

This role will be based in Warwick, Wokingham or Glasgow. We continue to offer hybrid working from office and home. This is a full-time role, and we offer flexible working arrangements.

**About us**:
National Energy System Operator’s (NESO) mission is to facilitate the decarbonisation of Great Britain’s energy network and ensure the delivery of reliable, affordable, and clean electricity for consumers. We work with stakeholders across the whole energy industry to plan for future network needs, using a wider adoption of technology and changes in consumer behaviour, as well as ensuring we have the right markets, networks, and frameworks in place, to transform the way we operate tomorrow.
Join us, and let’s energise progress.energy, our future, together.**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 (or 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 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 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.

**Key Accountabilities**:

- Develop models to analyse and/or predict power system and market conditions relevant to NESO.
- Lead data management and assurance processes to ensure modelling remains accurate and robust, identifying and obtaining new data where appropriate.
- Produce analysis, including clear visualisations, of modelling results that quickly provide stakeholders with the key messages they need to act on methodology or policy decisions.
- Effectively communicate the potential impact of changes to future market and operational conditions to a widespread audience in NESO.
- Provide oversight, challenge and advice to more other team members and support them in delivering their modelling accountabilities.

**About you**:
We’re forging the path, and we know we can’t do it alone. That’s why we need visionary minds like yours to join us on this transformative journey. In this case, we’re looking for someone who:

- Specialist knowledge of mathematical modelling techniques, including, but not limited to, regression and associated techniques, time series analysis and machine learning techniques.
- Experience in developing models from first principles and understanding of the strengths and limitations of modelling assumptions.
- Fluent in Python, R or equivalent high-level language.
- Ability to communicate analytical results and concepts to a wide range of audiences (e.g., senior level, technical / non-technical).
- Interest in probabilistic forecasting, stochastic differential equations, Markov Chains and/or Monte Carlo methods would be beneficial.
- Logical