Data Science Intern: Build Models & Visualize Impact

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

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.