Meteorology Forecasting Intern

Geronimo Power, LLC•Bloomington, MN
•$20 - $25•Onsite

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • Coursework or experience in meteorology, forecasting, atmospheric science, renewable energy, statistics, or energy economics.
  • Experience with programming languages such as Python, R, SQL, or similar analytical tools.
  • Familiarity with numerical weather prediction models, weather datasets, or forecast verification techniques.
  • Interest in electricity markets, renewable energy forecasting, or quantitative analysis.
  • Experience using visualization and reporting tools such as Power BI, Tableau, or similar platforms.
  • Demonstrated leadership through coursework, research projects, internships, student organizations, or extracurricular activities.

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.

Benefits

  • Hands-on experience supporting weather forecasting and renewable energy operations.
  • Exposure to meteorological analysis, forecast verification, electricity markets, and energy trading support.
  • Mentorship and professional development opportunities from experienced meteorologists and data science professionals.
  • Networking opportunities with teams across Operations, Asset Management, Data Science, and Trading.
  • Meaningful project work with direct business impact.
  • Opportunity to present internship accomplishments to company leadership.
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