Supply Chain Intern - Data Analytics & AI

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.

1. Data Collection & Preparation

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

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

2. Analytics & Visualization

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

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

3. AI & Machine Learning Projects

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

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

4. Business Collaboration & Insights

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

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

5. Research & Innovation

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

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

MINIMUM QUALIFICATIONS

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

STANDOUT QUALIFICATIONS

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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.

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Strong analytical and problem-solving skills with an ability to translate data into actionable insights.

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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.

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This role is primarily performed in a professional office environment with standard lighting, ventilation, and temperature-controlled settings.

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Duties are largely sedentary, requiring extended periods of sitting and using a computer and telephone.

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Visual acuity to operate a computer and read documents is required, along with auditory ability to participate in virtual and in-person meetings.

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Occasional movement within the office environment is necessary, including walking short distances, standing, or reaching for files.

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 Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.

Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.