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Meteorology Forecasting Intern

Job in Bloomington, Hennepin County, Minnesota, USA
Listing for: Automatic Data Processing, Inc.
Apprenticeship/Internship position
Listed on 2026-10-18
Job specializations:
  • Energy/Power Generation
    Energy Technology, Renewable Energy
Salary/Wage Range or Industry Benchmark: 20 - 25 USD Hourly USD 20.00 25.00 HOUR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Intern Intern Bloomington, MN, US

Salary Range: $20.00 To $25.00 Hourly

Position Location

Bloomington, MN (HQ)

About Us

Geronimo Power develops, owns, and operates large-scale power and affiliated digital infrastructure projects throughout America's Heartland, including solar, wind, energy storage, and powered data parks. As a farmer-founded and community-focused business, Geronimo Power equips landowners and rural communities with sustainable revenue to ignite local economic growth. To learn more about Geronimo Power, visit  or follow the company on Linked In.

About This Role

Geronimo Power's Data Science team is seeking a Meteorology Forecasting Intern for Summer 2027. This internship provides hands-on experience supporting weather forecasting, market analysis, and renewable energy operations across a growing fleet of utility-scale renewable energy assets. The intern will work closely with meteorologists, data scientists, traders, and asset management professionals to evaluate forecast performance, analyze weather-driven market impacts, and support operational and commercial decision-making.

This role offers valuable exposure to weather forecasting, meteorological data analysis, electricity markets, renewable energy operations, and forecast communication while contributing to projects that directly impact energy production and trading strategies.

Responsibilities
  • Analyze historical weather forecasts and observed weather data to identify forecast trends, model biases, and areas for improvement.
  • Evaluate the effects of local, regional, and large-scale weather variability on renewable energy production and electricity market pricing.
  • Support the communication of expected weather conditions, forecast confidence levels, and uncertainty factors to assist operational and trading decisions.
  • Conduct daily reviews of asset and forecast performance and communicate significant weather events and operational impacts to key stakeholders.
  • Assist with development, validation, and enhancement of forecasting tools, methodologies, and performance metrics.
  • Analyze meteorological datasets and support routine reporting on weather-driven business impacts.
  • Collaborate with Data Science, Asset Management, Operations, and Trading teams to support forecasting and market analysis initiatives.
  • Develop reports, dashboards, visualizations, and presentations to communicate forecast performance and weather-related insights.
  • Research weather forecasting technologies, industry best practices, and emerging analytical techniques.
  • Support special projects related to meteorology, energy forecasting, and market analytics.
  • Other duties as assigned.
What You’ll Bring

Required Qualifications
  • Currently pursuing a Bachelor's degree in Meteorology, Atmospheric Science, Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or a related field.
  • Strong analytical, quantitative, and problem-solving skills.
  • Interest in weather forecasting, renewable energy, energy markets, or operational analytics.
  • Experience working with meteorological, scientific, or technical data.
  • Proficiency with Microsoft Excel and other Microsoft 365 applications.
  • Strong written and verbal communication skills.
  • Ability to communicate complex technical concepts clearly and effectively.
  • Strong attention to detail and ability to manage multiple priorities.
  • Self-motivated and eager to learn in a collaborative team environment.
Preferred Qualifications
  • Coursework or experience in meteorology, forecasting, atmospheric science, renewable energy, statistics, or energy economics.
  • Experience with programming languages such…
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