National Grid Job Opportunity: Lead Economist, Gas Load ForecastingNational Grid

Posted September 15, 2023

Job Purpose
The Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Lead Data Scientist of Load Forecasting, you will develop long-term load forecasts at various geographic resolutions. You will integrate distributed resource forecasts (including solar PV, energy efficiency, demand response, EVs, and storage) for our US service territory. You will support internal stakeholders including Supply, Engineering, Regulatory, Strategy, Finance, and others. You will ensure the forecasts incorporate new distributed energy resources, technologies, and policies.

Key Accountabilities

  • Develop long-term Load Forecasts using econometric regression and time series analysis. Perform additional analysis relating to the forecast as necessary.
  • Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g., energy efficiency, demand response, electrification of heat, etc.).
  • The position of Lead requires the ability to work independently with minimal guidance and communicate to both internal and external stakeholders to present and defend results. The ability to speak to both technical and non-technical persons to present projects is essential.
  • Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.
  • Provide expert testimony before regulators and defend the forecasts. Respond to data requests from regulatory bodies for rate cases and other proceedings.
  • Collaborate with internal stakeholders (including our supply procurement, distribution system engineering, pricing, finance, regulatory, and strategy teams) regarding forecast methodology and analysis and ensure our deliverables meet their needs.
  • Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy usage and technologies and programs impacting that usage, such as energy efficiency and demand response.

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