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Supply Chain Intern - Data Analytics & AI

Hagerstown, Maryland, United States

Live, first seen by us 48 days ago
Pay
$18–37Period not stated — pay source
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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Supply Chain Intern - Data Analytics & AI
Work authorization
No visa sponsorship

What you’ll work on

Full posting
  • Clean and transform structured and unstructured data for analysis

  • Perform exploratory data analysis and build dashboards and reports

  • Help develop and test machine learning models for maintenance and forecasting

  • Turn business questions into data problems and present findings to stakeholders

From the employer’s posting
Assist with data wrangling, cleaning, and transformation across multiple structured and unstructured data sources.
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.
Support development of machine learning models for use cases such as predictive maintenance, quality forecasting, supply chain optimization, and anomaly detection.
Translate business questions into data problems and help derive actionable insights. Present findings to technical and non-technical stakeholders using clear visuals and storytelling.

What you’ll bring

All qualifications

Preferred experience

  • 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.
Qualification wording
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.
Education & alternatives
MINIMUM QUALIFICATIONS - Student working towards a bachelor’s in Supply Chain Management, Business, Information Technology, Engineering, or related field. STANDOUT QUALIFICATIONS
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Posting record

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Status in our records
Live
First seen by us
Sep 17, 202648 days ago
Recorded sightings
148
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 48

Up longer than most. Similar jobs usually come down between day 5 and day 41.

From 10,558 similar postings that came down. Coming down is not always a hire.

Oshkosh is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Excel
  • Power BI
  • Tableau
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- 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. 3. AI & Machine Learning Projects
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.
- 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. 4. Business Collaboration & Insights

Your next step

Complete your application on oshkoshcorporation.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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

  • 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.

2. 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.

3. 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.

4. 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.

5. 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 corporatetalentacquisition@oshkoshcorp.com.

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 regarding an employment application.

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.

Source details

View original posting ↗

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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. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Location & working pattern

Hagerstown, Maryland, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

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