Mode of Employment: Limited, max. 20h/week

As a working student at Siemens, you have the opportunity to actively contribute in various areas and fully apply your skills.

You'll make an impact by

• You assist in conducting both qualitative and quantitative research activities by collecting, analyzing, and interpreting data
• Subsequently, you contribute to building and optimizing analytics and LLM pipelines using your programming skills in Python, R, or JavaScript
• Additionally, you design and manage graph databases to support advanced data modeling for various projects
• You also engage in developing and enhancing recommender systems that help improve decision-making processes within the company
• Furthermore, you research and evaluate state-of-the-art methods and models to ensure our data science projects are at the cutting edge of technology

This is how you'll win us over

• Education: You are currently enrolled in a degree program in informatics, computer science, data analytics, or a related field
• Experience and Skills:
  • Good programming skills, especially in Python, R, PHP, and JavaScript
  • Experience in MLOps or LLMOps, and graph algorithms and data modeling
  • You have practical data science experience, preferably from previous employment or university projects
• Ways of Working: You are known for your ability to independently research and apply state-of-the-art solutions efficiently
• Languages: Good English language skills are required

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. 

About us

Join our team and help shape the future of communication, energy efficiency, and mobility! We are looking for dedicated working students who can put theories into practice and think creatively.

Take the opportunity to contribute to our global network, make valuable connections, and lay the foundation for your professional and personal future.

We look forward to your talent!

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.  

FAQ  – if you need further information on the application process.  

If you have more questions please contact: www.siemens.de/fragenzurbewerbung

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