Data Scientist, Data Science

National Grid; Warwick; Hybrid; GBP 48,000 - 57,000; Full time

Job summary

A leading energy company in the UK is seeking a Data Scientist to enhance and develop machine learning models. The role requires proficiency in Python and SQL, as well as strong analytical and communication skills. The successful candidate will manage ML pipelines, enhance existing models, and provide insights to support decision-making. A competitive salary ranging from £48,374.00 to £57,000.00 is offered along with various benefits.

Benefits

Bonus based on performance

Contributory pension scheme

Flexible benefits including share incentive plan

Qualifications

• Solid experience in data science methodologies with machine learning insights.
• Knowledge of GB and EU electricity industry structures is a plus.
• High level of independence and autonomy.

Responsibilities

• Manage ML pipelines and ensure integration of data sources.
• Enhance existing models to improve performance.
• Develop new models for strategic decision-making.
• Analyse model outputs and provide actionable insights.
• Serve as a subject matter expert in Data Science.
• Conduct complex analysis on data sets to determine auction strategies.

Skills

Proficiency in Python

Proficiency in SQL

Machine learning frameworks (Scikit-Learn)

Strong communication skills

Organised and results-driven

Highly analytical

Education

Master's level qualification in Data Science or related field

Job description

About the role

National Grid Interconnectors is at the heart of the 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 the models within the business are underpinned by robust data, developing new models, and undertaking analysis to aid decision-making.

What you'll do

• Manage and Maintain ML Pipelines: Take charge of our existing machine learning pipelines, ensuring seamless integration of data sources within a Snowflake Data Warehouse while managing a regression model that predicts auction clearing prices.
• Enhance Existing Models: Dive into feature exploration and implement algorithm improvements to boost the performance and accuracy of our predictive models.
• Develop New Models: Bring your creativity to the table by creating and implementing new machine learning models that support our strategic decision-making processes.
• Analyse Model Outputs: Evaluate model outputs and share actionable insights with various stakeholders to enhance our hedging strategy.
• Subject Matter Expert: Be the go-to Data Science expert for the team, providing guidance and answering questions related to data science and modelling.
• Perform Complex Analysis: Conduct in-depth analysis on multiple data sets to help determine the best auction strategies and volume allocations.

What you’ll need

• Proficiency in Python and SQL is essential.
• Familiarity with machine learning frameworks, particularly Scikit-Learn.
• A Master's level qualification in Data Science or a related field, or equivalent evidence of analytical training.
• Solid experience in data science methodologies, with a proven ability to use machine learning to provide actionable insights for strategic decision-making.
• Strong communication skills, with the ability to connect with stakeholders at all levels
• Knowledge of GB and EU electricity industry structures, policies, regulations, market fundamentals is a plus.
• A high level of independence and autonomy, with the ability to set your own direction and work with minimal guidance.
• Organised and results-driven, with a demonstrable history of meeting deadlines.
• Highly analytical, with the ability to turn complex data into actionable insights.
• An excellent communicator, ready to collaborate with stakeholders across the organisation.

What you’ll get

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.

#LI-HA1 #LI-HYBRID

About us

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.

More Information

This role closes on 1st December 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.