Senior Data Scientist - Energy Forecasting & MLOps

National Gas Transmission PLC

Warwick

On-site

GBP 90,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Double-match pension
Annual bonus
Tusker car scheme
Life assurance
Income protection
Flexible benefits
Wellbeing support
Professional development

Job summary

National Gas Transmission PLC in the United Kingdom is seeking a Senior Data Scientist to develop advanced analytics, forecasting and ML 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.

Qualifications

  • Strong commercial experience as a Data Scientist or similar quantitative role.
  • Proven experience developing time-series forecasting and/or optimisation models.
  • Strong Python programming skills with 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.

Responsibilities

  • 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.

Skills

Python
Time-series forecasting
SQL
Pandas
scikit-learn
MLOps
Communication

Education

Bachelor's or Master’s degree in a quantitative discipline
Postgraduate qualifications (Master’s/PhD)

Tools

Azure Machine Learning
Azure DevOps

Job description

National Gas Transmission PLC in the United Kingdom is seeking a Senior Data Scientist to develop advanced analytics, forecasting and ML 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.

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