Digital Tech Intern: Data, AI & Automation

Oshkosh Corporation, Inc.

Oshkosh (WI)

On-site

USD 51,577,000 - 106,020,000

Full time

14 days+
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Job summary

Oshkosh Corporation is offering a Digital Technology Intern role in Oshkosh, WI. You will gain hands-on experience across data, automation, and emerging tools, collaborating with Digital Technology professionals to build solutions and support enterprise analytics.

The program exposes you to areas like AI, low-code development, business systems, cybersecurity, and governance, with opportunities to apply SDLC and Agile practices throughout the lifecycle.

Qualifications

  • Pursuing a Bachelor’s degree in Computer Science, Information Systems, IT, Data Analytics, Data Science, Cybersecurity, Business Analytics, or related field.
  • Strong analytical and problem-solving skills.
  • Ability to communicate and collaborate effectively with technical and non-technical partners.

Responsibilities

  • Partner with business stakeholders to understand challenges, gather requirements, and identify opportunities where technology can improve processes.
  • Design, develop, test, and support digital solutions, applications, automations, reports, or data products.
  • Use data visualization and reporting tools to transform data into meaningful insights for decisions.
  • Work with data sources, data models, and automated data pipelines supporting analytics and reporting.
  • Develop or support low-code applications and workflows using Power Platform and ServiceNow.

Skills

Analytical skills
Communication
Collaboration
Willingness to learn

Education

Bachelor’s degree in a related field

Tools

Microsoft Power Platform
Power Apps
Power Automate
ServiceNow
UiPath

Job description

Oshkosh Corporation is offering a Digital Technology Intern role in Oshkosh, WI. You will gain hands-on experience across data, automation, and emerging tools, collaborating with Digital Technology professionals to build solutions and support enterprise analytics.

The program exposes you to areas like AI, low-code development, business systems, cybersecurity, and governance, with opportunities to apply SDLC and Agile practices throughout the lifecycle.

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