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 break new ground by

• Supporting the conceptual development of data analytics and AI projects
• Defining goals, milestones, and timelines for data-driven initiatives
• Selecting data sources, models, and AI methods for innovative solutions
• Collaborating across the value chain on analytics use cases
• Extracting, validating, and transforming data using cloud-native tools (Snowflake, Azure, dbt)
• Building and maintaining data pipelines (Azure, AWS)
• Applying machine learning & AI techniques (Python, R, scikit-learn, TensorFlow, PyTorch)
• Developing apps with OpenAI APIs, Azure OpenAI, and other LLM platforms
• Creating RAG systems and AI-powered chatbots
• Designing interactive dashboards (Power BI, Tableau, Streamlit)
• Contributing to business development and executive presentations
• Preparing training materials and supporting workshops on GenAI, MLOps, and the modern data stack

 

This is how you'll win us over

Education: At least four completed semesters of a bachelor’s degree with strong academic results, or currently pursuing a Master’s/Ph.D. in fields like informatics, mathematics, data science/engineering, physics, or similar

Experience & Skills (required):

• Practical experience in analytics, data science, or software development (internships, research, Kaggle, etc.)
• Python (pandas, numpy, scikit-learn), SQL, Git, and cloud platforms like Azure or AWS
• Knowledge of ML algorithms, model evaluation, and deployment

Experience & Skills (nice to have):

• MLOps tools (Docker, Kubernetes, CI/CD, model monitoring)
• Generative AI experience (OpenAI, LangChain, vector DBs)
• Big Data frameworks (Spark, Databricks)
• BI tools (Power BI, Tableau, Streamlit)
• Data engineering tools (dbt, Airflow)

 

Ways of working:

• Ability to explain complex technical topics to non-technical stakeholders
• Strong analytical mindset and a willingness to learn

Languages: Fluent in English (min. C1), German is a plus

 

We offer you

• Hybrid work model with flexible hours and vacation
• Mentorship promoting independence and responsibility
• Diverse industry projects within and outside Siemens to broaden your experience
• Supportive and transparent work environment
• Opportunities to write a thesis
• Trainings, events, and networking opportunities
• Corporate benefits – the entire Siemens benefit portfolio can be found here
• The individual benefits are subject to regulatory, contractual, or corporate conditions.

 

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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