Supply Chain Intern - Data Analytics & AI

About the role

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.

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

Responsibilities

• 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.

Requirements

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

Skills

• Microsoft Office Suite
• Excel, Power BI, Tableau
• ERP systems
• AI, VBA, Python
• Data wrangling, cleaning, transformation
• Exploratory data analysis (EDA)
• Machine learning model development (Scikit-learn, TensorFlow, PyTorch)
• Dashboard and reporting
• Business problem translation
• Stakeholder presentation and storytelling
• Research and benchmarking of AI/ML trends

Pay

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.