Rotational Development Program - AI & Data

PennEngineering®; Danboro (PA); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Medical & Employer Paid Dental/Vision

401k with Employer Match

Paid time off and holidays

Tuition reimbursement

Parental Leave

On the Job Training

Performance bonuses

Community volunteering

Talent referral program

Employee centric culture

Company-provided technology (laptop, 2

Onsite gym

Job summary

PennEngineering is seeking an AI and Data Rotational Engineer to join our Data Engineering and Data Visualization teams in Danboro, PA. You will rotate across business units in the US or globally, learning how data and AI solutions support design, development, and operations.

You will contribute to building AI-driven solutions that improve efficiency, accuracy, and decision-making across departments, while collaborating with cross-functional teams and continuously advancing your skills.

Qualifications

• Bachelor's or Master's degree in CS/CE/AI/DS with expected graduation May 2027.
• Programming in Python/R/SQL and ML framework exposure.
• Experience preprocessing data, feature engineering, and evaluating models.
• Familiarity with cloud platforms (AWS/Azure) is a plus.
• Experience with data visualization tools is a plus.

Responsibilities

• Handle data collection, preprocessing, analysis, and visualization of large datasets.
• Assist in developing ML models for regression, classification, time series, NLP, and clustering.

Skills

Problem solving

Communication

Detail-oriented

Strategic thinking

Innovative mindset

Collaboration

Education

Bachelor's or Master's in CS/CE/AI/DS

Tools

Python

R

SQL

TensorFlow

PyTorch

scikit-learn

tidymodels

keras

AWS

Azure

NoSQL

Git

Qlik/Tableau/Power BI

Job description

Position Summary

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.

Position Summary

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 the PennEngineering 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 2nd and 3rd 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

Location

Danboro, PA

Requirements

Education: May 2027

graduate in either bachelors or preferably a masters 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., TensorFlow, PyTorch, 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.