Textile Analytics Internship: Python & Innovation

Springs Window Fashions and Affiliated Companies

Town of Middleton (WI)

On-site

USD 21,000 - 28,000

Full time

14 days+

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Benefits offered by this job

On-site fitness center
Exposure to other roles
Career advancement opportunities
Cross-functional exposure
Paid on-the-job training

Job summary

Springs Window Fashions is offering a Textile Engineering Internship for Summer 2027 in Wisconsin. The role provides hands-on project experience in textile analytics, Python workflows, and cross-functional team collaboration.

You’ll work on production-ready analytics applications, automation projects, and tools that enhance adoption across the engineering team. This paid internship includes professional development and on-the-job training.

Qualifications

  • Pursuing a 4-year degree with standing such as Sophomore/Junior/Senior or Master's level.
  • Major preferred: Computer Engineering, Computer Science, Data Analytics, Electrical Engineering or related.
  • Proficient with Microsoft Office.
  • Strong problem-solving, critical thinking and communication skills.
  • Positive attitude and eagerness to learn.

Responsibilities

  • Develop and deploy production-ready applications for textile engineering analytics.
  • Project will modernize existing Python-based workflows through automation, hosting and user-friendly interfaces.
  • Enable broader adoption across the engineering team with intuitive tools.
  • Collaborate with cross-functional teams to deliver analytics solutions.

Skills

MS Office
Problem solving
Communication skills
Positive attitude

Education

4-year degree pursuit
Computer Engineering
Computer Science
Data Analytics
Electrical Engineering
Related Major

Tools

Microsoft Office

Job description

Springs Window Fashions is offering a Textile Engineering Internship for Summer 2027 in Wisconsin. The role provides hands-on project experience in textile analytics, Python workflows, and cross-functional team collaboration.

You’ll work on production-ready analytics applications, automation projects, and tools that enhance adoption across the engineering team. This paid internship includes professional development and on-the-job training.

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