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Demand Forecasting Analyst

British Gas
Windsor, GBR
Hybrid
Discovered 3 weeks ago
Demand forecastingGas and electricity demand analysisStatistical modellingAnalytical techniquesLarge dataset analysisExcel

Full Job Posting

Role overview

The Demand Forecasting team produces gas and electricity forecasts for residential customers.

Forecasts inform hedging and optimization of more than £5 billion in commodity purchasing and support timely trading decisions.

The role is based in the Reading, Windsor, or London office at least once a week, with remote work available under the Flexible First policy.

Forecasting and analysis

  • Share ownership of delivering UK residential gas and power forecasts to hedging and 24/7 trading teams.
  • Develop and maintain demand forecasting models and algorithms, using machine learning and AI where appropriate.
  • Monitor and visualize forecasting model quality using analytical tools.
  • Analyze customer behaviour, policy impacts, societal trends, flexibility, distributed generation, and storage to forecast demand.
  • Reduce energy imbalance costs through commercially focused models and processes.
  • Provide insight into customer behaviour and demand impacts for new products and propositions.

Business collaboration and improvement

  • Automate operational processes to improve efficiency.
  • Build relationships with teams including hedging and trading, British Gas Business, Hive, MI, smart metering, data science, finance, billing, industry settlement, and debt.
  • Conduct in-depth analysis and create enduring automated visualization and business intelligence processes using large and emerging data sources.
  • Induct and train new team members, support graduates and interns, and share technical and process knowledge.
  • Put customers at the heart of decisions and support digital transformation.

What the role requires

  • Strong numeracy and analytical skills.
  • Experience or knowledge of statistical modelling and comfort using varied analytical techniques on large datasets.
  • Excel experience is essential.
  • Python and SQL experience are highly advantageous.
  • Interest in energy and commitment to customer, commercial, and net-zero goals.

Workplace

  • Hybrid FlexFirst working, with at least one day per week in the Windsor, Reading, or London office.

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