Rotational Development Program - AI & Data

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 Penn. Engineering AI and Data Rotational Program. As a AI and Data Rotational Engineer , you will work closely with our Information Services team, and our AI and Data Teams, and within our business units. Your first rotation will be with the Data Engineering and Data Visualization teams.

Your 2 nd and 3 rd rotation will be within one of our business units at locations within the US or globally.

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!

Perks and Benefits

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 WHAT YOU WILL DO: 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 Education: May 2027 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, Py. Torch, scikit-learn, tidymodels, 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 NoSQL 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 ADDITIONAL SKILLS THAT WILL HELP YOU BE SUCCESSFUL IN THIS ROLE: Ability to demonstrate problem-solving and analytical skills. Strong communication (verbal and written) and collaboration abilities. Detail-oriented with a focus on delivering high-quality solutions. Strategic Thinking: Ability to align AI initiatives with business goals and drive strategic outcomes. Innovative Mindset: Enthusiasm for exploring new AI technologies and methodologies to improve existing processes.