Data Scientist Intern - Columbus, OH

American Electric Power Co.; Columbus (OH); On-site; USD 28,000 - 41,000; Full time

Job summary

American Electric Power Co. seeks motivated Data Scientist Interns in Columbus, OH to gain hands-on experience in data analysis, modeling, and interpretation within a dynamic corporate environment.

The role involves collecting and cleaning large datasets, building statistical models and ML algorithms, collaborating with cross-functional teams, and presenting insights using Tableau or Power BI. Strong analytical mindset and communication skills are essential.

Qualifications

• Pursuing degree in Data Science, Computer Science, Statistics or Mathematics.
• Proficient in Python or R.
• Familiarity with data manipulation libraries (Pandas, NumPy) and ML frameworks (Scikit-learn, TensorFlow).
• Strong understanding of statistics and data analysis techniques.
• Excellent communication and teamwork abilities.

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 Tableau or Power BI.
• Document processes and methodologies for future reference.

Skills

Python

R

Pandas/NumPy

Machine learning

Statistics

Communication

Education

Pursuing degree in Data Science/Computer Science/Statistics/Mathematics

Tools

Tableau

Power BI

SQL

Python

R

TensorFlow

Scikit-learn

Job description

Data Scientist Intern - Columbus, OH### Data Scientist Intern - Columbus, OHApply: Columbus, OH: Full time: Posted Today: End Date: November 13, 2026 (22 days left to apply): R20499**Job Posting End Date**11-13-2026Please note the job posting will close on the day before the posting end date.**Job Summary**We are seeking highly motivated Data Scientist Interns 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:**$ - $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.