***PLEASE NOTE: This is a PAID INTERNSHIP opportunity. Seminole Electric will only consider candidates, who are currently enrolled as a part-time or full-time student pursuing a Bachelor's or Post Graduate degree at an accredited educational institution.***
Position Summary Description
The Cooperative Education Student – Load Forecasting is an entry-level learning opportunity designed for students pursuing a degree in data science, economics, statistics, engineering, mathematics, or a related field. Working under the guidance of experienced analysts, the Co-Op will support the team’s efforts in electric load forecasting, data analysis, and Member services. This role offers hands-on exposure to applied analytics, forecasting models, and the energy utility industry.
The Co-Op will contribute to tasks such as data preparation, validation, and exploratory analysis that feed into Seminole’s short- and long-term load forecasting. The position is structured to provide mentorship, skill-building, and a meaningful introduction to utility analytics and planning.
Essential Functions
Assist in gathering, cleaning, and analyzing load, weather, and economic data.Support the maintenance of datasets and forecasting inputs for Seminole and the nine Member cooperatives.Perform exploratory data analysis and produce visualizations using Excel and other tools.Document work processes and learn how forecasts contribute to broader utility planning efforts.Participate in internal meetings and trainings to learn about utility load forecasting and rate analysis.Respond to basic data requests under supervision and with guidance from full-time staff.Help identify opportunities to improve forecasting inputs or model outputs as time and skill allow.Perform other duties as applicable to the position or as assigned. NERC Compliance: Performs NERC Compliance Program roles if/as designated in Seminole's Standard Ownership Matrix (SOM) including ongoing evidence retention in "audit-ready" form. You should also be familiar with Seminole's Enterprise Internal Compliance Program (ENT-GCD-RGC-EP-054) to further your understanding of Seminole's compliance program and your duties and responsibilities in the SOM.Qualifications and Education Requirements
Candidate is required to be working towards a Bachelor's degree in Data Science, Economics, Statistics, Engineering, Mathematics, or a related field. Completed coursework in statistics, data analysis, and/or programming (e.g., Excel, Python, SAS, or R) is strongly preferred. Co-op students are expected to be enrolled in a minimum of six (6) credit hours per semester, maintain a 2.75 GPA, and work approximately 20 hours a week.
Core Competencies: Adaptable, Collaborative, Conscientious, Critical-Thinking, Outcome-Driven and Professional
Technical Competencies/Skills:
Data analysis using statistical and econometric methodsStatistical analysis applications and programming tools (e.g., Excel, Python, SAS, and/or R).Data-driven recommendations and decision-makingProficiency with Microsoft Office applicationsSoft Competencies/Skills:
Effective verbal, listening, and written communicationsAttention to detail and eagerness to learn.Ability to work independently and in a team environment.Curiosity about the energy industry and how data supports decision-making.Adherence to written policies and procedures Time management, organizational, and planning skillsPhysical Requirements
Must be able to follow established protective measures including wearing Personal Protective Equipment (PPE). Must have a valid driver’s license and an acceptable Motor Vehicle Report.
Working Conditions
Generally accepted office conditions. May require some travel outside of normal business hours. While working in certain areas of the plant there is the potential for exposure to hazards typical of an industrial working environment.
“Disclaimer - Management may modify this job description at any time and may require the performance of additional duties, or modification of physical requirements, with or without advance notice.”
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