Working Student Data Science (Part-Time) | Informationstechnikermeister/in

Siemens AG Österreich

Wien,Floridsdorf, Wien, Österreich
Published Feb 5, 2026
Full-time
Permanent

Job Summary

This role invites a Master's student to join Siemens Austria's international team, contributing to the development and maintenance of cutting-edge AI solutions for intelligent infrastructure. The working student will collaborate closely with building technology domain experts, data engineering, and software development teams to define, optimize, and scalably deploy AI offerings. A core focus involves hands-on work with time-series data, applying machine learning techniques for classification, anomaly detection, and forecasting. Candidates must be pursuing a relevant technical Master's degree, possess foundational knowledge of statistics and ML, and demonstrate proficiency in Python, capable of writing clean and reproducible code. This position offers real-world exposure to AI applications and cross-functional teamwork within a leading technology company committed to sustainability.

Required Skills

Education

Currently pursuing a Master's degree in Computer Science, Engineering, Information Technology, or any relevant technical discipline.

Experience

  • Hands-on experience working with timeseries data for tasks such as classification, anomaly detection, or forecasting
  • Demonstrated analytical and problem-solving skills through coursework, projects, or extracurricular activities
  • Professional experience in writing clean, efficient, and reproducible code

Languages

Not specified

Additional

  • Part-time commitment (30 hours per week); Unlimited contract duration (UNBEFRISTET); Must be currently pursuing a Master's degree.