Working Student

Vor 2 Tagen

München, Deutschland Siemens Vollzeit

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

**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)
- 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

**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

sagworkingstudent

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