AI & Data Intern

PennEngineering® • Plumstead Township, PA

14h

About The Position

The AI & Data Intern is a summer internship and the entry point to PennEngineering’s AI and Data Rotational Program. The intern will work with the Information Services team, AI and Data teams, and business units, gaining experience with Data Engineering, Data Visualization, and the application of data and AI within a business unit. The role supports the analytics and data science team in transforming raw data into actionable insights and helping design, develop, and implement AI-driven solutions to improve business operations. The internship provides hands-on experience with real data and real-world business problems in a manufacturing and engineering environment. Strong performers may be offered a full-time Rotational Engineer role after graduation.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum GPA of 3.0.
• Basic experience with Python or R for data analysis.
• Familiarity with SQL and relational databases.
• Knowledge of supervised and unsupervised machine-learning fundamentals.
• Ability to visualize data using tools such as Qlik, Power BI, Tableau, Matplotlib, or similar.
• Comfort working with large datasets.
• Strong analytical and problem-solving skills.
• Curiosity and willingness to learn new tools, technologies, and business processes.
• Excellent communication skills, including the ability to explain technical concepts clearly.
• Strong attention to detail and ability to work independently or as part of a team.

Nice To Haves

• Experience with scikit-learn, Pandas, or NumPy.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of statistical modeling and experiment design.
• Participation in academic leadership roles and/or socially conscious activities.

Responsibilities

• Assist with collecting, cleaning, validating, and preprocessing data from multiple internal systems.
• Support development of predictive models, such as regression, classification, and forecasting models.
• Conduct exploratory data analysis 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.
• Document processes, model assumptions, and analytical findings.
• Present insights and recommendations to data teams and business partners.
• Prototype AI agents or LLM-based tools.
• Complete a simple Data Engineering or data visualization project and use Git.

Benefits

• Hands-on experience applying data science in a real-world corporate and 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.

What This Job Offers

• Career Level: Intern