Data Scientist Intern - Columbus, OH

American Electric Power

Columbus, OHOn-siteFull time, Internship
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Location
Columbus, OH
Work style
On-site
Job type
Full time, Internship
Posted
Oct 20
2 days ago
Career path

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About the company

American Electric Power

Utilities · 10,001+ employees

American Electric Power on LinkedIn

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 you need

  • 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 and machine learning frameworks
  • Strong understanding of statistical concepts and data analysis techniques
  • Excellent communication skills and ability to work collaboratively in a team environment
  • Sedentary work; exerting up to 10 pounds of force occasionally
  • Experience with SQL for database management (preferred)
  • Knowledge of data visualization tools like Tableau or Power BI (preferred)

Key skills

PythonRPandasNumPyScikit-learnTensorFlowstatistical conceptsdata analysis techniquescommunication skillsSQLTableauPower BI

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Read the full posting here
Job Posting End Date 11-13-2026 Please 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. Hear about it first! Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one. 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.

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