American Electric Power

Data Scientist Intern - Columbus, OH

American Electric Power Columbus, Ohio, United States

Utilities · 10,001+ employees

2 d ago
data-scientist Junior (0-2 yrs) Internship Full-time United States
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About the role

The intern will assist in cleaning and analyzing large datasets while developing statistical models and machine learning algorithms. They will also collaborate with cross-functional teams to provide data-driven solutions and present findings using visualization tools.

What they look for

Data Analysis Statistical Modeling Machine Learning Python R Pandas NumPy Scikit-learn TensorFlow Tableau Power BI SQL Data Visualization Communication Teamwork

Requirements

Candidates must be currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python or R and a strong understanding of statistical concepts are required.

Full 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:

$ - $

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.  

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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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