Job summary
Job post source
This job is directly from National Grid
Job overview
The Lead Economist, Data Science at National Grid develops long-term forecasts for demand-side management programs and distributed energy resources to support sustainable energy delivery and decarbonization goals.
Responsibilities and impact
The role involves creating long-term forecasts for DSM and DER impacts, integrating load modifiers into electric and gas forecasts, analyzing large data sets, communicating results to stakeholders including regulators, updating forecast processes, and collaborating with internal teams to meet regulatory requirements.
Compensation and benefits
Salary ranges from $133,000 to $189,000 depending on location, with career advancement opportunities; benefits include health insurance and retirement plans as implied by company standards.
Experience and skills
Requires a Bachelor's degree (Master's or PhD preferred) in economics, statistics, or related fields, 5+ years in a regulated industry, expertise in econometrics or statistical modeling, proficiency in Python or R, and strong communication skills including regulatory testimony.
Career development
The position offers a career path with advancement opportunities within and across bands as experience and skills develop.
Work environment and culture
National Grid values diversity and inclusion, fostering a culture of engagement to deliver superior community performance, and encourages minorities, women, individuals with disabilities, and protected veterans to apply.
Company information
National Grid is a leading energy company delivering safe, secure energy with a focus on sustainable future energy systems and decarbonization.
Team overview
The role is part of the Analytics & Load Forecasting team working with distributed resources, DSM, strategy teams, and other internal and external stakeholders.
Job location and travel
Position can be based in Waltham, MA or NY offices in Hicksville, Brooklyn, Syracuse with some regulatory interaction expected.
Unique job features
The job uniquely involves expert testimony before regulators, integration of decarbonization policy scenarios into forecasts, and working on regulatory compliance projects like the Massachusetts Electric Sector Modernization Plans.
Company overview
National Grid is a leading multinational electricity and gas utility company headquartered in the United Kingdom. It operates and maintains critical energy infrastructure, including electricity transmission networks and gas distribution systems, primarily in the UK and the northeastern United States. The company generates revenue through regulated tariffs for the transmission and distribution of electricity and gas, as well as through various energy-related services. Founded in 1990, National Grid has a significant history of mergers and acquisitions, including the acquisition of KeySpan Corporation in 2007, which expanded its footprint in the U.S. energy market.
How to land this job
Position your resume to highlight expertise in econometrics, policy forecasting, and distributed energy resources (DER) relevant to National Grid's focus on decarbonization and load forecasting.
Emphasize experience with statistical programming tools like Python or R, advanced SQL, and familiarity with energy sector regulatory environments to align with the job's technical and regulatory demands.
Apply through National Grid's corporate careers page and LinkedIn, as well as energy industry job boards, to maximize your application visibility for the Lead Economist, Data Science role.
Connect with professionals in National Grid’s Analytics & Load Forecasting or DER teams on LinkedIn; use ice breakers like commenting on recent National Grid decarbonization initiatives or asking about the integration of DER forecasts into long-term planning.
Optimize your resume for ATS by including keywords such as 'econometrics,' 'policy forecasting,' 'distributed energy resources,' 'load forecasting,' 'Python,' 'R,' 'SQL,' and 'regulatory testimony' to ensure it passes automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application channels, and discover relevant National Grid contacts on LinkedIn, allowing you to focus your time on networking and interview preparation.
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