Data Scientist, Data Science

National Grid Interconnectors is at the heart of UK’s transition to our net zero energy future. We operate a number of HVDC Interconnectors that connect the UK’s energy system to some of our closest neighbours, allowing energy to be imported to and exported from the UK.

As well as already owning a portfolio of HVDC Interconnectors, we’re working on developing new projects to ensure that we are able to meet the UK’s future demands for greener energy solutions.

We are currently recruiting for a Data Scientist in Interconnectors within the NGV portfolio. As a Data Scientist, you will be responsible for ensuring that these models within the business are underpinned by robust data, developing new models and undertaking analysis to aid decision making.

If you are an experienced data scientist or have experience within practical modelling projects and machine learning experience with exposure to SQL and Python we would love to hear from you!

This role is based from Warwick and you can enjoy our hybrid working from office and home.

• Performing complex analysis on multiple data sets to help determine the optimal auction strategy and volume allocation.
• Constant evaluation and maintenance of existing data pipelines and models that underpin the analysis behind the short-to-medium term commercial decision-making process, including identifying required enhancements and updating as required. Experience of working with data warehouses (i.e. Snowflake) is desirable.
• Working with other team members to develop proof-of-concept models and developing into production.
• Gathering requirements for data and model improvements and liaising with data and database owners and other team members to deliver enhancements.

• Experience of handling significant quantities of data, knowledge of data handling techniques, experience of using databases, statistics and machine learning
• Experience of developing, implementing, running and maintaining models and tools to meet business requirements. Highly analytical and quantitative – demonstrated ability to critically review modelled inputs and outputs.
• Experience of analysing modelled outputs to answer business questions and the ability to present conclusions to varied stakeholders.
• Proficiency with SQL, Python, Pandas, and relevant machine learning libraries (note: evidence of this may be sought at interview).
• Knowledge of GB and EU electricity industry structures, policies and regulations, market fundamentals and recent trends is desirable.

A competitive salary between £48,374.00 - £57,000.00 – dependent on capability.

As well as your base salary, you will receive a bonus based on personal and company performance and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%. You will also have access to a number of flexible benefits such as a share incentive plan, salary sacrifice car and technology schemes, support via employee assistance lines and matched charity giving to name a few.

National Grid is pioneering ways to decarbonise the energy system; from building interconnectors to allow the UK to share clean energy with our neighbours in Europe, to investing in renewable energy generation in the United States.

As one of the largest investor-owned energy companies in the world, National Grid is at the centre of a clean, fair and affordable energy future, where tackling climate change and reaching net zero is a key priority. National Grid is pioneering ways to decarbonise the energy system; from building interconnectors to allow the UK to share clean energy with our neighbours in Europe, to investing in renewable energy generation in the United States.

This role closes on 17th October 2025 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.

At National Grid, 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. We celebrate the difference people can bring into our organisation, and welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office.