COOPERATIVE EDUCATION STUDENT – LOAD FORECASTING

Seminole Electric•Tampa, FL

About The Position

The Cooperative Education Student – Load Forecasting is an entry-level paid internship for students pursuing a degree in data science, economics, statistics, engineering, mathematics, or a related field. Under the guidance of experienced analysts, the Co-Op supports electric load forecasting, data analysis, and Member services, gaining hands-on exposure to applied analytics, forecasting models, and the energy utility industry. The Co-Op contributes to data preparation, validation, and exploratory analysis supporting short- and long-term load forecasting. The position provides mentorship, skill-building, and an introduction to utility analytics and planning. Students are expected to be enrolled in at least six credit hours per semester, maintain a 2.75 GPA, and work approximately 20 hours per week.

Requirements

Currently enrolled part-time or full-time at an accredited educational institution and pursuing a Bachelor's or Post Graduate degree.
Working toward a Bachelor's degree in Data Science, Economics, Statistics, Engineering, Mathematics, or a related field.
Enroll in a minimum of six credit hours per semester.
Maintain a 2.75 GPA.
Work approximately 20 hours per week.
Knowledge of data analysis using statistical and econometric methods.
Ability to use statistical analysis applications and programming tools such as Excel, Python, SAS, and/or R.
Ability to make data-driven recommendations and decisions.
Proficiency with Microsoft Office applications.
Effective verbal, listening, and written communication skills.
Attention to detail and eagerness to learn.
Ability to work independently and in a team environment.
Time management, organizational, and planning skills.
Ability to follow written policies and procedures.
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.

Nice To Haves

Completed coursework in statistics, data analysis, and/or programming (e.g., Excel, Python, SAS, or R) is strongly preferred.
Curiosity about the energy industry and how data supports decision-making.

Responsibilities

Assist in gathering, cleaning, and analyzing load, weather, and economic data.
Support 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 applicable to the position or as assigned.
Perform NERC Compliance Program roles if designated in Seminole's Standard Ownership Matrix (SOM), including ongoing evidence retention in audit-ready form.
Become familiar with Seminole's Enterprise Internal Compliance Program (ENT-GCD-RGC-EP-054) to understand the compliance program and duties and responsibilities in the SOM.