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# Working Student Advanced Analytics and Artificial Intelligence

- **Company:** Siemens AG
- **Location:** München, Germany
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Python (Programming Language), Machine Learning, NumPy, Cloud Services, Software Engineering, SQL Databases, Cloud Platform System, Snowflake, Model Validation, Git, Pandas, Scikit Learn, Software Version Control, Data Pipelines
- **Published:** September 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ee1b5cf136b71c22

## About the Role

+ You have practical experience in analytics, data science, software development, or related areas through internships, academic projects, or research
 + You demonstrate proficiency in Python (pandas, numpy, scikit-learn), SQL, and have hands-on experience with cloud data platforms such as Snowflake, Azure, or AWS
 + You are familiar with machine learning algorithms, model evaluation and deployment, version control (Git), and collaborative development workflows
 * Ways of Working: You are eager to learn, think analytically, and communicate complex technical concepts to non-technical stakeholders
 * Languages: You have excellent English skills (minimum C1 level); German is an advantage

## Description

* You actively support the conceptualization and execution of advanced analytics and artificial intelligence projects, bringing your innovative perspectives into the team
 * By collaborating closely with colleagues, you extract, validate, and transform data using cloud-native platforms like Snowflake and Azure, ensuring data quality and accessibility
 * Leveraging your technical know-how, you assist in developing and maintaining data pipelines in cloud environments and contribute to applying machine learning algorithms with Python and relevant frameworks
 * Furthermore, you help create interactive dashboards and reports, translating complex analytics into actionable insights for stakeholders
 * Throughout your tasks, you participate in workshops and help prepare training materials on emerging AI/ML technologies, fostering knowledge sharing within the organization


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