Senior Data Scientist, Electric Load Forecasting

Job Purpose

The Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist of Electric Load Forecasting, you will develop long-term electric load forecasts at the system and distribution feeder level.

You will integrate distributed resource, demand-side management, and electrification load forecasts (including solar PV, energy efficiency, demand response, electric vehicles, storage, etc.

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 Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models as appropriate.
• Perform exploratory analysis of large complex data sets to derive insights and valuable actions
• Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).
• Perform additional analysis relating to the forecast as necessary.
• Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.

Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.

• Assist with code review and quality assurance activities.
• Document and archive models and scrips (e.g., using Git / Bitbucket) to enable ongoing support.
• The position of senior requires the ability to work independently 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.
• Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) 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 use and technologies and programs impacting that use, such as energy efficiency and demand response.

Qualifications

• A Bachelor’s degree (Master’s or PhD preferred) in economics, statistics, mathematics, applied analytics, operation research, engineering, or related quantitatively rigorous field.
• Demonstrated experience with econometric or statistical forecasting or modelling required.
• Expertise in statistical programming software such as Python, SAS, R required.
• Advanced SQL skills preferred
• Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.
• Good understanding of National Grid’s operations and the regulatory environment preferred.
• Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.
• Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.

Ability to explain complex technical concepts to non-technical stakeholders.

• Experiences with Git / Bitbucket, Azure is preferred.
• Advanced Excel skills preferred.

More Information

Salary $124,000 - $146,000 a year 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.