Senior Data Scientist, Energy Systems & Decarbonisation

National Energy System Operator Limited

United Kingdom

Remote

GBP 63,000 - 75,000

Full time

9 days ago

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Benefits offered by this job

Bonus based on company performance
26 days annual leave
Pension scheme (double match up to 12%
NESO Savings Plan enrollment
Flexible Bank Holidays
Birthday Day Off
Cycle to Work Scheme
Private Medical Insurance

Job summary

National Energy System Operator (NESO) is seeking a Senior Data Scientist to lead data modelling, forecasting, and automation within the GWEND team. You will develop probabilistic forecasts and pipelines, driving decarbonisation and hydrogen network planning initiatives.

You will mentor colleagues, uphold data quality standards, and communicate insights to senior management and external stakeholders to maximise impact.

Qualifications

  • Proven experience writing production quality code in Python or R.
  • Experience developing statistical forecasting models from first principles.
  • Knowledge of Monte Carlo methods, regression, and clustering is beneficial.
  • Experience with end-to-end data pipelines and automation.

Responsibilities

  • Develop probabilistic forecasts of GB gas demand and supply at regional level using various statistical techniques.
  • Maintain and run models feeding into strategic network planning.
  • Lead automation and data pipeline development for GWEND processes.
  • Communicate technical findings to senior stakeholders to drive decisions.
  • Scoping and planning data science projects in response to business needs.

Skills

Python
R
Version control
Cloud computing
Data pipelines

Tools

Git

Job description

National Energy System Operator (NESO) is seeking a Senior Data Scientist to lead data modelling, forecasting, and automation within the GWEND team. You will develop probabilistic forecasts and pipelines, driving decarbonisation and hydrogen network planning initiatives.

You will mentor colleagues, uphold data quality standards, and communicate insights to senior management and external stakeholders to maximise impact.

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