AI and Data Rotational Engineer

PennEngineering® • Plumstead Township, PA

119d

About The Position

At PennEngineering, 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. PennEngineering is seeking a motivated, excited, individual to be a part of 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 (3) areas of our Data Group: Data Engineering, Data Visualization, and Data Science and Modeling. 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. You will also gain experience working with our offshore development team. Upon graduating from the program, you will work as a Data Scientist, Data Engineer, or Visualization Engineer. Please note this role will be primarily onsite in Danboro, PA. Join us as we build the future in Manufacturing and Engineering!

Requirements

• 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
• Proficiency in programming languages such as Python, R, and/or SQL.
• Basic knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, tidymodels, keras).
• Understanding of data preprocessing, feature engineering, and model evaluation techniques is helpful.
• 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 is preferred.
• 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.

Nice To Haves

• 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.

Responsibilities

• Data Handling/Exploration: Collect, preprocess, and analyze 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, NLP, and clustering applications.
• 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 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 AI and data applications for developers and end-users, especially pertaining to user experience and human factors

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 This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees