Senior Forecaster, Data Science Job Details | National Grid

About the Role

Key Responsibilities

• Develop long-term gas load forecasts using econometric and statistical methods; conduct additional analyses as needed.
• Integrate the impacts of distributed energy resources (DERs), emerging technologies, and policy initiatives (e.g., building electrification) into gas load forecasting models.
• Work independently with guidance, presenting and defending results to internal and external stakeholders, including both technical and non-technical audiences.
• Maintain and improve forecast processes and documentation to ensure efficiency, transparency, and reliability.
• Provide expert testimony before regulators, defend forecasts, and respond to regulatory data requests in rate cases and other proceedings.
• Collaborate with internal stakeholders (supply procurement, system engineering, pricing, finance, regulatory, and strategy teams) to align forecast methodology with business needs.
• Stay current on policies, regulatory requirements, market trends, and industry standards affecting customer energy usage and technologies.

Requirements

• A Bachelor's degree (Master's or PhD strongly preferred) in forecasting, economics, statistics, applied analytics, engineering, or related quantitatively rigorous field.
• 3 or more years of relevant energy industry experience in a regulated setting with direct interaction with regulators preferred.
• Demonstrated experience in econometric or statistical forecasting/modeling required; prior energy load forecasting experience strongly preferred.
• Familiarity with National Grid's operations and the regulatory environment preferred.
• Experience analyzing or forecasting distributed resources (e.g., energy efficiency, demand response, electrification of heat) preferred.
• Strong written and verbal communication skills, including ability to testify before regulators and explain complex technical concepts to non-technical audiences.
• Expertise in statistical programming software such as Python, or R is required.
• Advanced SQL skills preferred.
• Experiences with Git/Bitbucket, Azure, Databricks is preferred.
• Advanced Excel skills preferred.

Nice to Have

• Advanced SQL skills
• Experience with Git/Bitbucket, Azure, Databricks
• Advanced Excel skills
• Familiarity with National Grid's operations and regulatory environment
• Experience analyzing or forecasting distributed resources

Qualifications

• Bachelor's degree (Master's or PhD strongly preferred) in forecasting, economics, statistics, applied analytics, engineering, or related field
• 3 or more years of relevant energy industry experience in a regulated setting

Benefits & Perks

• Salary ranges: Upstate NY: $119,000-$140,000; Downstate NY: $142,000-$167,000; New England: $133,000-$156,000
• Career advancement opportunities within and across bands as you develop and evolve in the position
• Gaining experience, expertise, and applying technical skills