Senior Data Scientist

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At National Gas, the work we do matters.

As Britain's national gas network, we help keep the lights on, businesses running, and homes warm by maintaining the critical infrastructure that transports gas across Great Britain. While providing the energy security Britain relies on today, we're also helping transform the network for a clean energy future.

Join us and help secure Britain's energy.

About the role

We're looking for a Senior Data Scientist to develop advanced analytics, forecasting and machine learning solutions that support the safe and efficient operation of Britain's gas transmission network. You'll take ownership of projects from concept through to deployment, delivering solutions that create real operational value.

Data plays a critical role in how National Gas operates and plans for the future. From forecasting network demand and understanding weather impacts to optimising asset performance and operational decisions, you'll help turn complex data into actionable solutions that improve decision-making across the business.

This is an opportunity to work on meaningful challenges with direct impact on national infrastructure. You'll collaborate with engineers, operators and technology teams while applying cutting-edge data science and machine learning techniques in a production environment.

What you'll be doing

• Develop forecasting, optimisation and machine learning models to solve operational and asset management challenges.
• Take ownership of data science projects from discovery through to production deployment.
• Analyse and prepare large datasets from operational, asset, weather and market sources.
• Build and maintain MLOps pipelines to support reliable and scalable model deployment.
• Create dashboards, visualisations and applications that communicate insights to stakeholders.
• Work closely with engineers, operators and business teams to embed solutions into day-to-day operations.
• Measure and demonstrate the value delivered by analytical solutions.

What you'll bring

• Strong commercial experience as a Data Scientist, Machine Learning Engineer or similar quantitative role.
• Proven experience developing time-series forecasting and/or optimisation models within a business environment.
• Strong Python programming skills, including experience with libraries such as pandas and scikit-learn.
• Experience designing, deploying and maintaining machine learning solutions using modern MLOps practices.
• Experience extracting, manipulating and analysing data using SQL.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Degree in a quantitative discipline such as Data Science, Mathematics, Engineering, Statistics, Computer Science or a related STEM subject, or equivalent industry experience.
• Experience with Azure Machine Learning, Azure DevOps or similar cloud platforms.
• Experience working with meteorological or climatological data and models, with the ability to interpret weather and climate drivers, understand data limitations, and apply these insights to forecasting, optimisation and operational decision-support problems.
• Experience within energy, utilities, infrastructure or other asset-intensive industries.
• Postgraduate qualifications, including a Master’s or PhD in a quantitative discipline.

What we offer

• Market-leading double-match pension (up to 12% company contribution)
• Annual performance bonus up to 6%
• Access to the Tusker salary sacrifice car scheme
• 10x salary life assurance and income protection
• Flexible benefits including healthcare, dental, and technology options
• Family-friendly policies, wellbeing support, and professional development opportunities

Inclusive recruitment

We're building a workforce that reflects the communities we serve, championing diversity, and creating an inclusive workplace where everyone is valued for their unique contribution. We support reasonable adjustments throughout the recruitment process and beyond.

National Gas is a Disability Confident employer and signatory of the Armed Forces Covenant.

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