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14 дней назад

Load Research & Energy and Demand Forecasting Intern (Energy)

19 - 24$
Формат работы
hybrid/onsite
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Load Research & Energy and Demand Forecasting Intern (Energy): Supporting load research, forecasting, and analytical studies for resource planning, budgeting, regulatory filings, rate cases, and generation development with an accent on interval meter data, weather-normalized modeling, and energy-use analysis. Focus on analyzing large datasets, exploring customer, weather, EV, and emerging-technology impacts, and contributing to forecasting tools and Databricks analytics.

Location: Denver, Colorado, with in-person commuting required under the hybrid work policy

Salary: $19.50–$24.00 per hour

Company

Energy company providing electricity and natural gas products and services to customers across eight Western and Midwestern states.

What you will do

  • Support load research and energy and demand forecasting projects by gathering, reviewing, analyzing, and summarizing data.
  • Contribute to analysis supporting resource planning, budgeting, regulatory filings, rate cases, and business decisions.
  • Explore the effects of customer behavior, weather, electric vehicle adoption, climate, and emerging technologies on energy use.
  • Help improve forecasting tools, reports, recurring research processes, and analytics migration into Databricks.
  • Document work and communicate findings to team members and internal stakeholders.

Requirements

  • Current college or university student with junior status or higher as of fall 2027.
  • Enrolled in an accredited program in statistics, data science, economics or econometrics, applied mathematics, mathematics, engineering, computer science, environmental studies, public policy, or a related quantitative or technical field.
  • Able to work up to 40 hours per week during the summer, up to 20 hours per week during the school year, and commute to the designated location in person.
  • Strong organizational, communication, and problem-solving skills.
  • Familiarity with Microsoft Excel and exposure to statistics or statistical modeling.

Nice to have

  • Experience with Python and pandas, R, SQL, or Databricks.
  • Interest in the energy or utility sector.
  • Experience working with large datasets and strong attention to detail.

Culture & Benefits

  • Hybrid work arrangement with required in-person commuting.
  • Opportunity to learn and develop forecasting, research, statistical modeling, and data analysis skills.
  • Pension and 401(k) plan.
  • Paid time off and holidays.

Hiring process

  • Applications are accepted until October 16, 2026.
  • Internship begins May 31, 2027, with a possible extension based on performance and business needs.

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