Graduate Intern - Load Forecasting - Engineering Analytics & Modeling

• Identify viable forecasting opportunities based on need, data availability, and time constraints posed by the length of the internship.
• Navigate and interrogate an array of available data sources to create transparent, explainable, and presentable models to the organization that can help further our views of future growth around load, solar, wind, and otherwise.
• Explore short and long-term electric load forecasts using verifiable econometrics, time-series analysis, statistical analysis, and other known methodologies.
• Analyze and compare forecast performance with actual results, explains variances and suggests changes for future forecasting exercises.

• Engineering principles: A strong engineering background, preferably in electric power systems. Other engineering backgrounds may be considered if presented in combination with a strong electric power background.
• Data Science & Data Analysis: The candidate should possess strong software development skills and frequently use code to solve analytical and automation problems. More specifically, the candidate must demonstrate a high degree of proficiency in developing explainable models and analyses using Python and the common Python scientific computing libraries.
• Mathematics & Statistics: The use of black box libraries and nebulous data science techniques is highly discouraged - our company is tackling load and usage growth of an unprecedented nature; we require candidates to have strong statical analyses backgrounds who can provide model explainability to our functional groups and create a more widely understood forecast of our service territory and our evolving system generation.
• Autonomy and self-starting: We are spearheading a brand-new industry capability; we are seeking candidates with the ability to operate independently while aligning to the joint mission of our team.
• Critical thinking: Our team requires an ability to think abstractly, pursue unknown unknowns, and the motivation to persevere even in failure. What we are solving for is unprecedented and challenging - we require out of the box thinkers.
• Communication Skills: Exceptional communication skills are required - translating complex results into widely understood reports and executive presentations will be mandatory.
• The candidate should demonstrate excellent professional ethics.

• Candidates must have completed a Bachelor's degree in an engineering discipline and be working on a Master's or preferably a Ph.D. degree from an ABET accredited Engineering program at a four year or post-graduate college or university.
• Must have an anticipated graduation date of Winter 2026 or later.
• Candidates must have a 3.5 minimum cumulative GPA.
• Electrical Engineering with a focus on power systems is strongly preferred.

Dominion Energy