Data Scientist Intern - Columbus, OH

American Electric Power; Columbus (OH); On-site; USD 25,000 - 39,000; Full time

Job summary

American Electric Power in Columbus, OH is seeking a Data Scientist Intern to gain hands-on experience in data analysis, modeling, and interpretation within a dynamic energy company.

The role involves collecting and cleaning data, building statistical models and ML algorithms, collaborating with cross-functional teams, and presenting insights using Tableau or Power BI. Strong Python or R skills and a passion for data-driven decisions are essential.

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.

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

Scikit-learn

TensorFlow

Data visualization

Communication

Education

Pursuing degree in Data Science/CS/Stats/Math

Tools

Tableau

Power BI

SQL

Job description

Job Posting End Date

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

Job Summary

We are seeking a highly motivated Data Scientist Intern to join our team. This internship provides a unique opportunity to gain hands‑on experience in data analysis, modeling, and interpretation within a dynamic environment. The ideal candidate will have a strong analytical mindset and a passion for data‑driven decision‑making.

Job Description

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.

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 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.

Preferred Skills

• 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.

Compensation Data

Compensation Grade:

Co-Op/Intern-001

Compensation Range:

$ - $

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.