Working Student in Data Science (m/f/d)

We Make Real What Matters.

Siemens Austria is one of the leading technology companies in the country. For more than 140 years, we have stood for sustainability, innovation, quality, reliability and place great value on diversity in our teams, promoting diversity in all its dimensions.

Would you like to shape intelligent infrastructure for the future at one of the world’s most innovative companies? At a company that contributes to the responsible use of resources with smart digital solutions, promotes the integration of renewable energies and fights climate change?

Then bring your expertise and become a working student in Data Science, working 30 hours per week (part-time) as a member of our international team.

More about the Siemens area in which you could be active in the future: Siemens Smart Infrastructure.

The Job

• Collaborate as part of the data science team to assist in building, testing, and maintaining AI solutions.
• Support collaboration with building technology domain experts to help define and optimize data-focused offerings.
• Work closely with the data engineering and software development teams to contribute to the scalable deployment of AI solutions.
• Gain exposure to real-world AI applications, product workflows, and cross-functional teamwork in a professional environment.
  
  

Your Profile

• Currently persuing a Master's degree in Computer Science, Engineering, Information Technology, or any relevant technical discipline.
• Foundational knowledge of statistics and machine learning.
• Hands-on experience working with timeseries data for tasks such as classification, anomaly detection, forecasting.
• Proficiency in Python, with the ability to write clean, efficient, and reproducible code.
• Strong analytical and problem-solving skills demonstrated through coursework, projects, or extracurricular activities.
• Clear communication skills, with the capability to share insights effectively to both technical and non-technical stakeholders.
• Interest in IoT data and its unique challenges in machine learning (prior exposure is a plus).
• Awareness of cutting-edge methods in agentic AI development and retrieval-augmented generation (RAG) approaches would be an advantage.
  
  

Our Benefits

• Flexible working hours
• Uncomplicated home office regulation including payment of a home office flat rate
• We are closed on window days or between Christmas and New Year
• Extensive development opportunities
• Canteen at the location
• and much more
  
  

Our Offer:

The gross annual salary for this position is at least EUR 40.910,24 (full-time basis), in accordance with the collective agreement.

Our application process:

We hope to have sparked your interest in this position and look forward to receiving your online application! The position is available immediately. For further information, please contact Ms. Anna Zahradka at [email protected] .