Data Analytics & AI Intern for Supply Chain

Oshkosh Corporation, Inc.; Hagerstown (MD); On-site; USD 25,000 - 51,000; Full time

Job summary

Oshkosh Corporation, Inc. is seeking a Data Analytics and AI Intern to support data-driven solutions across the business.

You will work with cross-functional teams to collect, clean, model, and visualize data, and participate in AI/ML projects focused on predictive maintenance and supply chain optimization. The internship offers exposure to real-world projects, including data wrangling, dashboard creation, and collaboration with data engineers, with opportunities to learn emerging technologies

Qualifications

• Student working toward a bachelor’s degree in a related field.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.

Responsibilities

• Data Collection & Preparation: wrangle, clean, and transform data from multiple sources.
• Analytics & Visualization: build dashboards/reports using Power BI, Tableau, or Python libraries.
• AI & Machine Learning Projects: assist in developing ML models for predictive maintenance, quality forecasting, and supply chain optimization.
• Business Collaboration & Insights: translate business questions into data problems and present insights to stakeholders.
• Research & Innovation: stay updated on AI/ML trends and support internal experimentation.

Skills

Analytical thinking

Communication skills

Education

Bachelor’s degree in Supply Chain Management, Business, Information Technology, Engineering, or related field

Tools

Power BI

Tableau

Excel

Python

VBA

ERP systems

Job description

Oshkosh Corporation, Inc. is seeking a Data Analytics and AI Intern to support data-driven solutions across the business.

You will work with cross-functional teams to collect, clean, model, and visualize data, and participate in AI/ML projects focused on predictive maintenance and supply chain optimization. The internship offers exposure to real-world projects, including data wrangling, dashboard creation, and collaboration with data engineers, with opportunities to learn emerging technologies