Data-Driven Supply Chain Intern (AI/ML)

Oshkosh Corporation, Inc.

Hagerstown, Northern (MD, KY)

Hybrid

USD 25,000 - 51,000

Full time

3 days ago
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Job summary

JLG, an Oshkosh company, seeks a Data Analytics & AI Intern in Hagerstown, MD to work with cross-functional teams on data-driven solutions. You will contribute to data collection, modeling, and BI reporting while exploring AI/ML applications in supply chain optimization.

The role offers exposure to real-world analytics, dashboards, and collaboration with data engineers, analysts, and business stakeholders. Ideal for students pursuing related degrees.

Qualifications

  • Student working toward a bachelor's in a related field.
  • Proficiency in Microsoft Office Suite; knowledge of data tools (Excel, Power BI, Tableau).
  • Familiarity with ERP systems, AI, VBA, or Python is a plus.
  • Strong analytical and problem-solving abilities with data-to-insights skills.
  • Excellent written and verbal communication skills.

Responsibilities

  • Assist with data wrangling, cleaning, and transformation across sources.
  • Create dashboards and reports using Power BI, Tableau, or Python libraries.
  • Support AI/ML projects including model training and validation.
  • Translate business questions into data problems and present findings.
  • Stay updated on AI/ML trends and assist adoption initiatives.

Skills

Strong analytical and problem-solving
Excellent verbal and written comms
MS Office proficiency
Power BI, Tableau expertise
Excel knowledge
ERP familiarity
Python/VBA familiarity

Education

Bachelor’s degree (in progress) in related field

Tools

Power BI
Tableau
Excel
Python
VBA
ERP systems

Job description

JLG, an Oshkosh company, seeks a Data Analytics & AI Intern in Hagerstown, MD to work with cross-functional teams on data-driven solutions. You will contribute to data collection, modeling, and BI reporting while exploring AI/ML applications in supply chain optimization.

The role offers exposure to real-world analytics, dashboards, and collaboration with data engineers, analysts, and business stakeholders. Ideal for students pursuing related degrees.

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