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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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  • E

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Student Employee - Digital & AI Enablement

AT&S Austria Technologie & Systemtechnik
Found 1 week ago
Location
Leoben, Austria
Time
Part-time
Work Mode
On-site
Salary
competitive salaries and additional benefits based on your performance, experience and qualification.
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • JavaScript
  • SQL
  • AI
  • digitalization
  • Microsoft Copilot

Soft Skills

  • analytical skills
  • attention to details
  • out of the Box thinking
  • good stress management
  • Eagerness to constantly learn
  • communicate effectively

Job Description

We are looking for motivated student employees to support our digital and AI initiatives, combining hands-on technical work with enablement and knowledge sharing. Your Responsibilities * Support development of small AI & digital proof of concepts (PoCs) * Assist with Python scripting, small tools, and data processing * Build simple prototypes or agents using Microsoft Copilot * Support automation and integration initiativesHelp with testing, documentation, and debugging * Contribute to AI & digitalization trainings (materials, demos, examples) * Capture and share best practices, guidelines, and internal content * Support communication to make digital topics accessible for non-technical audiences

Requirements

  • Ongoing studies in Computer Science, Software Engineering, Data Science, Information Systems or a comparable technical field
  • University degree in chemistry, electronics, mechanical engineering, physics or similar as beneficial
  • Basic to good programming skills (e.g. Python, JavaScript, SQL, or similar)
  • Ability to communicate effectively in both spoken and written English, German skills are asset
  • Good analytical skills with attention to details, “out of the Box” thinking and good stress management
  • Eagerness to constantly learn and evolve with new technologies and methodologies

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • German skills
▶Apply Now

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