Meteorology Performance Analysis Intern
About The Position
Geronimo Power's Data Science team is seeking a Meteorology Performance Analysis Intern for Summer 2027. This internship provides hands-on experience supporting the performance analysis and operational optimization of utility-scale renewable energy assets across the company's growing portfolio. The intern will work closely with Data Science, Asset Management, and Operations teams to analyze SCADA and meteorological data, identify asset performance trends, investigate underperformance events, and support data-driven decision making. This role offers valuable exposure to renewable energy analytics, statistical modeling, machine learning applications, operational performance monitoring, and meteorological analysis while contributing to projects that improve fleet-wide energy production and asset reliability.
Requirements
- Currently pursuing a Bachelor's degree in Meteorology, Atmospheric Science, Data Science, Statistics, Mathematics, Engineering, Physics, Computer Science, or a related field.
- Strong analytical, quantitative, and problem-solving skills.
- Experience working with data analysis and statistical concepts.
- Proficiency with Microsoft Excel and other Microsoft 365 applications.
- Strong written and verbal communication skills.
- Ability to manage multiple projects and priorities simultaneously.
- Attention to detail and commitment to producing high-quality work.
- Self-motivated with a willingness to learn in a fast-paced, collaborative environment.
Nice To Haves
- Coursework or experience in meteorology, renewable energy analytics, machine learning, statistics, or data science.
- Experience with programming languages such as Python, R, SQL, or similar analytical tools.
- Familiarity with data visualization platforms such as Power BI, Tableau, or comparable tools.
- Interest in renewable energy, asset performance monitoring, operational analytics, or predictive modeling.
- Experience working with large datasets and performing quantitative analysis.
- Demonstrated leadership through coursework, research projects, internships, student organizations, or extracurricular activities.
Responsibilities
- Assist in SCADA data quality control and anomaly detection using statistical and machine learning techniques.
- Collaborate with plant operations staff to troubleshoot underperformance issues and identify potential causes.
- Support root cause analysis efforts for underperforming assets and help develop recommendations for corrective actions.
- Perform routine analysis of fleet-wide operational and meteorological data to assess asset performance and validate analytical models.
- Communicate technical findings and performance insights to key stakeholders through reports, presentations, and dashboards.
- Assist with data collection, validation, cleansing, and organization from multiple operational and meteorological data sources.
- Support development and maintenance of performance monitoring tools, visualizations, and reporting solutions.
- Conduct research on industry performance trends, meteorological impacts, and renewable energy analytics best practices.
- Collaborate with cross-functional teams including Asset Management, Operations, Engineering, and Data Science.
- Support special projects related to asset optimization, data science, and operational performance improvement.
- Other duties as assigned.
Benefits
- Hands-on experience supporting utility-scale renewable energy performance analytics.
- Exposure to SCADA systems, meteorological analysis, machine learning applications, and operational performance monitoring.
- Mentorship and professional development opportunities from experienced Data Science and renewable energy professionals.
- Networking opportunities with cross-functional teams across the organization.
- Meaningful project work with direct impact on renewable energy asset performance.
- Opportunity to present internship accomplishments to company leadership.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
