Data Scientist Intern

American Electric Power; Columbus (OH); On-site; USD 25,000 - 36,000; Part time

Job summary

American Electric Power (AEP) invites motivated data science students to join as a summer intern in Columbus, OH. You will work on real datasets, learn from industry leaders, and contribute to projects that influence utility operations.

This role emphasizes mentorship, hands-on learning, and building practical skills with modern tools. You will develop statistical models, apply ML algorithms, and collaborate with cross-functional teams to translate insights into actionable business solutions.

Qualifications

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficient in programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and ML frameworks (e.g., Scikit-learn, TensorFlow).
• Strong understanding of statistical concepts and data analysis techniques.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Must have completed at least your freshman year.
• Graduation date of December 2027 or later.
• Must be at least 18 years old.
• Willingness and ability to relocate for the summer to one of our internship locations, if necessary.
• This position is not eligible for sponsorship, OPT, or CPT.

Responsibilities

• Assist in collecting, cleaning, and analyzing large datasets to extract meaningful insights.
• Develop and implement statistical models and machine learning algorithms.
• Collaborate with cross-functional teams to identify data-driven solutions to business challenges.
• Visualize data and present findings to stakeholders using tools such as Tableau or Power BI.
• Document processes and methodologies for future reference.

Skills

Python

R

Pandas

NumPy

Statistical analysis

Team collaboration

Education

Pursuing degree in Data Science/CS/Statistics/Mathematics

Tools

SQL

Tableau

Power BI

Job description

Job Posting End Date

11-13-2026

Please note the job posting will close on the day before the posting end date.

Job Summary

Why Join Us?

This is your chance to embark on an exciting journey where you can make a real impact from day one! You'll learn directly from industry leaders, collaborate with a dynamic team, and engage in mentorship opportunities while working on individual projects that showcase your unique talents. We're dedicated to your growth, offering comprehensive training and development programs tailored to enhance your skills and deepen your understanding of the electric utility industry.

Job Description

What You'll Do:

• Assist in collecting, cleaning, and analyzing large datasets to extract meaningful insights.
• Develop and implement statistical models and machine learning algorithms.
• Collaborate with cross-functional teams to identify data-driven solutions to business challenges.
• Visualize data and present findings to stakeholders using tools such as Tableau or Power BI.
• Document processes and methodologies for future reference.

What We're Looking For:

Education requirements are listed below:

Required:

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficient in programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow).
• Strong understanding of statistical concepts and data analysis techniques.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Must have completed at least your freshman year.
• Graduation date of December 2027 or later.
• Must be at least 18 years old.
• Willingness and ability to relocate for the summer to one of our internship locations, if necessary.
• This position is not eligible for sponsorship, OPT, or CPT.

Preferred:

• Experience with SQL for database management.
• Knowledge of data visualization tools like Tableau or Power BI.
• Previous internship or project experience in data analysis or related fields.

In addition to competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.

Where Putting the Customer First Powers Everything We Do!

At AEP, we're more than just an energy company - we're a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!

Compensation Data

Compensation Grade:

Co-Op/Intern-001

Compensation Range:

$ - $

The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.