Load Research & Energy and Demand Forecasting Intern

Xcel Energy
Denver, Colorado, United StatesPosted Sep 14, 2026

About the role

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for. At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here, you can be your best. Doing work that makes a difference for neighbors and communities. Working with a team you can count on to push you. Expanding skills, staying ready for change, and capturing opportunities to grow. All with the support, rewards and recognition you need to thrive – during your internship and beyond.

Position Summary

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. Typical intern responsibilities may include but are not limited to:

  • 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.
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