Senior Forecaster, Data Science

National Grid; Canterbury; On-site; GBP 87,000 - 123,000; Full time

Job summary

A leading energy provider is seeking a Senior Forecaster in Gas Load Forecasting. You will develop natural gas demand forecasts and collaborate with teams across various sectors including Supply, Engineering, and Regulatory. The ideal candidate has a strong background in econometric forecasting and excellent communication skills, with opportunities for career advancement.

Qualifications

• 3+ years of relevant energy industry experience in a regulated setting.
• Demonstrated experience in econometric or statistical forecasting/modeling.
• Familiarity with the regulatory environment preferred.

Responsibilities

• Develop long-term gas load forecasts using econometric and statistical methods.
• Integrate impacts of emerging technologies into load forecasting models.
• Collaborate with stakeholders to align forecast methodology with business needs.

Skills

Statistical programming software (Python or R)

Strong communication skills

Expertise in econometric or statistical forecasting

Advanced SQL skills

Education

Bachelor’s degree in quantitative field (Master’s or PhD preferred)

Tools

Excel

Git/Bitbucket

Azure

Databricks

Job description

Overview

About us National Grid is seeking a Senior Forecaster position in Gas Load Forecasting. This position can be located in Waltham, MA or Hicksville, NY.

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating, and our expertise and track record put us in an unparalleled position to shape the sustainable future of our industry. To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.

Job Purpose

The Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Forecaster, you will develop long-term natural gas demand forecasts for our U.S. service territory and collaborate with internal stakeholders including Supply, Engineering, Regulatory, Strategy, Finance, and others. You will also support and respond to information requests from regulatory bodies for rate cases and other proceedings related to the gas load forecast. In this role, you will ensure forecasts account for emerging technologies, customer programs, policy changes, and legislation in the rapidly evolving energy landscape.

Key Accountabilities

• 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.

Qualifications

• 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.

More Information

• Salary
  • Upstate NY: $119,000-$140,000
  • Downstate NY: $142,000-$167,000
  • New England: $133,000-$156,000

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.

• Salary
  • Upstate NY: $119,000-$140,000
  • Downstate NY: $142,000-$167,000
  • New England: $133,000-$156,000

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.