Data Scientist Intern: Hands-on ML & Data Insights

AEP

Columbus (OH)

On-site

USD 27,552,000 - 34,440,000

Full time

2 days ago
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Job summary

American Electric Power (AEP) in Columbus, OH is seeking a Data Scientist Intern to gain hands-on experience in data analysis, modeling, and interpretation. You will work with Python or R, Pandas/NumPy, and ML frameworks to extract insights that drive business decisions.

You will collaborate with cross-functional teams, visualize results with Tableau or Power BI, and document 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.

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
SQL
Pandas
NumPy
Scikit-learn
TensorFlow
Tableau
Power BI

Education

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

Tools

Tableau
Power BI

Job description

American Electric Power (AEP) in Columbus, OH is seeking a Data Scientist Intern to gain hands-on experience in data analysis, modeling, and interpretation. You will work with Python or R, Pandas/NumPy, and ML frameworks to extract insights that drive business decisions.

You will collaborate with cross-functional teams, visualize results with Tableau or Power BI, and document methodologies for future reference.

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