Supply Chain Intern - Data Analytics & AI

oshkoshcorporation; Hagerstown (MD); On-site; USD 25,000 - 51,000; Full time

Job summary

Oshkosh Corporation, a leading global manufacturer, invites a Data Analytics and AI Intern to join cross-functional teams. You will help develop data-driven solutions, build dashboards, and contribute to AI/ML projects that optimize operations and quality forecasting.

The role emphasizes data wrangling, exploratory analysis, and collaboration across engineering, IT, and business units, with opportunities to learn modern AI frameworks and visualization tools.

Qualifications

• Student working towards a bachelor’s degree in a related field (Supply Chain, IT, Business, Engineering).
• Familiarity with data concepts, analytics, and business intelligence tools.
• Strong communication and problem solving skills.

Responsibilities

• Assist with data collection and cleaning across multiple sources.
• Build dashboards and reports in Power BI or Tableau.
• Support development of ML models for predictive analytics and optimization.
• Translate business questions into data-driven insights for stakeholders.
• Stay current with AI/ML trends and propose new ideas.

Skills

Microsoft Office

Excel

Power BI

Tableau

VBA

Python

AI/ML familiarity

ERP systems

Education

Bachelor's degree in Supply Chain Management, Business, IT, Engineering, or related field

Tools

Python

Scikit-learn

TensorFlow

PyTorch

Job description

About JLG, an Oshkosh company

JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products-including mobile elevating work platforms, telehandlers, utility vehicles and accessories-can be found all over the world.

The Data Analytics and AI Intern will work alongside cross-functional teams to support the development, deployment, and enhancement of data-driven solutions using analytics and artificial intelligence. This hands-on internship will expose the candidate to real-world projects involving data modeling, machine learning, business intelligence, and operational optimization.This role is ideal for students who are passionate about solving business problems through data and emerging technologies like AI, ML, and predictive analytics.

YOUR IMPACT

These duties are not meant to be all-inclusive and other duties may be assigned.

• Data Collection & Preparation

  Assist with data wrangling, cleaning, and transformation across multiple structured and unstructured data sources.

  Collaborate with data engineers to validate data integrity and availability for analytical use.

• Analytics & Visualization

  Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.

  Build dashboards and reports using tools such as Power BI, Tableau, or Python libraries.

• AI & Machine Learning Projects

  Support development of machine learning models for use cases such as predictive maintenance, quality forecasting, supply chain optimization, and anomaly detection.

  Assist in training, validating, and testing models using frameworks like Scikit-learn, TensorFlow, or PyTorch.

• Business Collaboration & Insights

  Translate business questions into data problems and help derive actionable insights.

  Present findings to technical and non-technical stakeholders using clear visuals and storytelling.

• Research & Innovation

  Stay updated on AI/ML trends, tools, and techniques and provide recommendations for adoption.

  Conduct literature reviews or benchmarking studies to support internal innovation initiatives.

MINIMUM QUALIFICATIONS

• Student working towards a bachelor's in Supply Chain Management, Business, Information Technology, Engineering, or related field.

STANDOUT QUALIFICATIONS

• Proficiency in Microsoft Office Suite; knowledge of data analysis tools (Excel, Power BI, Tableau); familiarity with ERP systems, AI, VBA, and/or Python is a plus.
• Strong analytical and problem-solving skills with an ability to translate data into actionable insights.
• Excellent verbal and written communication skills

WORKING CONDITIONS

The following represents general working conditions for this office-based role. Specific conditions may vary depending on business needs and individual circumstances.This role is primarily performed in a professional office environment with standard lighting, ventilation, and temperature-controlled settings.Duties are largely sedentary, requiring extended periods of sitting and using a computer and telephone.Visual acuity to operate a computer and read documents is required, along with auditory ability to participate in virtual and in-person meetings.Occasional movement within the office environment is necessary, including walking short distances, standing, or reaching for files.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role.

Pay Range:

$18.00 - $37.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at [e-mail].

Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision