AI & Data Intern

Location: Danboro, PA (additional US locations possible)

Duration: Summer 2027 (approx. 10–12 weeks)

This summer internship is the entry point to the PennEngineering AI and Data Rotational Program, and strong performers may be offered the full-time Rotational Engineer role after graduation.

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.

As a Summer Intern in the AI and Data Rotational Program, you will work closely with our Information Services team, our AI and Data teams, and our business units. You will get a preview of the full rotational experience: time with the Data Engineering and Data Visualization teams, plus exposure to how data and AI support a business unit. Your goal is to learn our approach to data and help design, develop, and implement AI-driven solutions that optimize and enhance our business operations.

This internship offers hands-on experience with real data, the chance to apply AI techniques to real-world problems, and a direct line to a full-time career in Manufacturing and Engineering.

WHAT YOU WILL DO:

The AI & Data Science Intern will support our analytics and data science team by helping transform raw data into actionable insights. This role is ideal for a student pursuing a STEM or quantitative field who is eager to apply analytical, statistical, and programming skills to real business challenges.

Key Responsibilities

• Assist in data collection, cleaning, validation, and preprocessing from multiple internal systems.
• Support development of predictive models (e.g., regression, classification, forecasting).
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Help build dashboards and visualizations using tools such as Qlik, Power BI, or Python libraries.
• Automate routine reporting tasks using Python, R, or SQL.
• Participate in cross-functional projects with engineering, operations, quality, HR, and finance teams.
• Help document processes, model assumptions, and analytic findings.
• Present insights and recommendations to the data teams and business partners.
• Add AI work to the responsibilities: prototyping AI agents or LLM-based tools, plus Git and a simple Data Engineering or visualization project.

What Makes You Successful

• Strong analytical and problem-solving skills.
• Curiosity and willingness to learn new tools, technologies, and business processes.
• Excellent communication skills—ability to explain technical concepts clearly.
• Strong attention to detail and ability to work independently or within a team.

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum GPA 3.0
• Basic experience with Python or R for data analysis.
• Familiarity with SQL and relational databases.
• Knowledge of machine learning fundamentals (supervised/unsupervised learning).
• Ability to visualize data using tools like Qlik, Power BI, Tableau, Matplotlib, or similar.
• Comfort working with large datasets.
• Experience with scikit-learn, Pandas, or NumPy, preferred.
• Exposure to cloud platforms (AWS, Azure, GCP), preferred.
• Knowledge of statistical modeling and experiment design, preferred.
• Participation in academic leadership roles and/or socially conscious activities is preferred

What This Internship Offers

• Hands-on experience applying data science in a real-world corporate/manufacturing environment.
• Exposure to enterprise systems and large-scale data architecture.
• Opportunity to work on meaningful projects that drive business outcomes.
• Mentoring and coaching from experienced data scientists and analysts.
• Potential for future internship extensions or full-time opportunities, including the Rotational Engineer role.