Data and AI Rotational Engineer

Overview

Position Summary At Penn Engineering, we innovate and collaborate to make the world a better place. You can contribute to work that matters with a company where diversity, equity and belonging are shared values. We’re committed to fostering an environment for every employee that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Penn Engineering is seeking a motivated, excited individual to be a part of the Data and AI Rotational Program as an Associate Data Engineer located at our Global Headquarters in Danboro, PA. As the Associate Data Engineer
, you will work closely with our Information Services team and our Data & AI Special Ops Committee to rotate through three of the four areas of our Data Group:
Data Engineering, Data Visualization, and Data Science and Modeling and AI Engineering
. Your role will be to learn our approach to data in each specific group, with the objective of learning how to best support the design, development, and implementation of AI-driven solutions that optimize and enhance our business operations.

This rotational experience offers a unique opportunity to gain hands-on experience with data, apply AI techniques to real-world problems, and contribute to projects that improve efficiency, accuracy, and decision-making processes across different departments and ultimately driving innovative customer solutions. Join us as we build the future in Manufacturing and Engineering!

• Medical & Employer Paid:
  Dental and Vision
• 401k and Employer Match
• Paid time off and holidays
• Tuition reimbursement
• Parental Leave
• Paid On the Job Training
• Performance incentive bonuses
• Community Volunteering
• Talent Referral Bonus Program
• Employee Centric Culture
• Company Provided Technology (laptop, phone, monitors for office and home environment)
• Onsite Gym

• Data Handling/Exploration:
  Collect, preprocess, analyze, and visualize large datasets to identify trends and patterns
• Model Development:
  Assist in developing machine learning models using relevant algorithms and techniques for regression, classification, time series, natural language processing (NLP), and clustering applications; to perform customer behavior analysis, prospect valuation, and process optimization
• Support AI Tool Development:
  Assist in the design, development, and implementation of AI-based solutions to enhance various company processes
• Collaboration:
  
  Work closely with cross functional teams to understand business problems/requirements and integrate Data & AI solutions into existing workflows
• Research:
  Stay updated with the latest advancements in AI and machine learning and suggest innovative techniques to improve tool performance
• Documentation:
  Help maintain comprehensive documentation of AI/ML models, processes, and results for future reference and continuous improvement
• Risk assessment:
  Contribute to organizational strategies for identifying and managing the risks of deploying Data & AI applications for developers and end-users, especially pertaining to user experience and human factors

Danboro, PA

Education: May 2026 graduate in either bachelor’s or preferably a master’s degree in one of the following areas:
Computer Science, Computer Engineering, Artificial Intelligence, Data Science

Technical Skills

• Proficiency in programming languages such as Python, R, and/or SQL
• Basic knowledge of machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn, tidy models, keras)
• Understanding of data preprocessing, feature engineering, and model evaluation techniques
• Familiarity with cloud platforms (e.g., AWS, Azure) for deploying data solutions is a plus
• Familiarity with relational and No
  
  SQL databases
• Proficiency with version control systems like Git
• Experience building AI agents to perform tasks, analyze data sets, summarize findings, etc
• Experience in developing machine learning models is a plus, but not required
• Exposure to data visualization tools such as Qlik, Tableau, Power BI, or similar
• Eagerness to learn and stay updated on emerging data science and AI technologies