Data Science and Analytics Intern (Hybrid) - Summer 2025 - PPL Services Corporation
Allentown, PA 18101
About the Job
Overview
A PPL Intern is a temporarily employed full-time college student in an accredited four-year institution of higher learning, who is offered a work-study program designed to give college students practical work experience in their field of study. This program often helps students determine career interests. Beyond the scope of the actual tasks performed, the student becomes familiar with a corporate environment and gains practical skills and knowledge to supplement their classroom experience.
Joining PPL as a Data Science and Analytics intern provides you with the opportunity to explore possible career opportunities within Data, Machine Learning, Cloud Data platform, Data Visualization, etc.. As well as:
- Meeting company leaders
- Becoming members of business resource groups
- Participating in community service projects
- Contributing to departmental goals.
Responsibilities
PPL is seeking students to work full time (40 hours/week) during Summer 2025, in Allentown, Pennsylvania to assist in transforming the industry through data driven insights. If you are pursuing Data Science, Analytics or Engineering career and have a passion for Machine Learning, Predictive Modeling, Data Analytics, Visualization, Big Data, IoT technologies, Edge Computing, Machine Learning, Cloud Data Platform, etc., we want to meet you.
The PPL Data Science team intern(s) will work on various projects, applying data analysis, machine learning, and statistical techniques to extract insights from a variety of different data sources, transforming the way PPL does business.
The things you may learn about and do day to day include:
- Data Science and Machine Learning
- Statistical/Data Analysis
- Data Cleaning and Enrichment
- Project Scoping
- Cloud Computing
- Data Governance & Lineage
- Visualization and Story Telling
- Machine Learning Engineering
- Internet of Things & Streaming Data
- Optimization Problems
- SQL/Python/R/etc.
Qualifications
- Currently pursuing a Bachelor's or Master's degree in Data Science, Data Analytics, Statistics, or related field of study.
- Minimum GPA: 3.00