Load Research & Energy and Demand Forecasting Intern

Xcel Energy•Denver, CO

7d•Hybrid

About The Position

Xcel Energy is seeking candidates to support our CFO Organization, specifically, within our Load Research or Energy and Demand Forecasting teams. These teams develop load profiles, forecasts, and analytical studies that support Xcel Energy’s resource planning, budgeting, regulatory filings, rate cases, and generation development decisions. Together, the teams work across the company on high-impact research and modeling efforts, including interval meter data analysis, weather-normalized load modeling, typical-load-year forecasts, class-level load studies, climate and emerging-technology impact analysis, EV adoption forecasting, and migration of analytics into Databricks. Interns may contribute to research, technical development, statistical modeling, or data analysis projects based on their interests and skill sets, with work that directly informs planning processes and ongoing business needs.

Requirements

Current Student, Junior status (as of fall 2027) or higher
Enrolled in an accredited college or university and pursuing a degree in Statistics, Data Science, Economics/Econometrics, Applied Mathematics, Mathematics, Electrical Engineering, Computer Engineering, Computer Science, Environmental Studies, Public Policy, or a related quantitative, technical, or policy-focused field.
Able to work full-time during the summer (up to 40 hours a week)/ part time during the school year (up to 20 hours a week) and commuting to the designated work location in-person, per our hybrid work policy.
Good organizational, communication and problem-solving skills

Nice To Haves

Experience with Python (pandas) or R, SQL, and/or Databricks
Interest in the energy/utility sector
Comfort working with large datasets and strong attention to detail
Familiarity with Microsoft Excel required
Exposure to statistics or statistical modeling

Responsibilities

Support load research and forecasting projects by gathering, reviewing, and summarizing data.
Assist with analysis used for planning, budgeting, regulatory, and business decision-making.
Help improve tools, reports, and processes that support recurring forecasting and research work.
Explore how customer behavior, weather, and new technologies may affect energy use.
Learn forecasting concepts and contribute to projects that strengthen future forecasting capabilities.
Document work and share findings with team members and internal stakeholders.