Working Student Data Science (Part-Time) | Informationstechnikermeister/in
Siemens AG Österreich
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
Additional
- Part-time commitment (30 hours per week); Unlimited contract duration (UNBEFRISTET); Must be currently pursuing a Master's degree.