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# Working Student - Data Science

- **Company:** Allianz SE
- **Location:** Unterföhring, Germany
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Github, Python (Programming Language), Machine Learning, Standard Sql, SQL Databases, Large Language Models, Deep Learning, Data Analytics, Software Version Control
- **Published:** August 13, 2026
- **Apply:** https://www.careerjet.de/jobad/de6562edfe0ddd9673fe62c148b4d5fa34

## About the Role

* Understanding of machine learning, statistical techniques and LLMs concepts and their application

 * Proficiency in Python and SQL

 * Experience with GitHub and established workflows for version control and collaboration

 * Highly developed interpersonal skills

 * Currently enrolled in university for the whole period of employment

 * Excellent academic achievements

 * Strong analytical and conceptual capabilities, pragmatic and result-orientated approach

 * Fluency in English is required

## Description

In order to support the ambitious growth & profitability targets, Allianz Partners has launched an initiative to enhance our data, data analytics and AI capabilities. As part of this initiative a team is developing state-of-the-art data-driven solutions across various business functions, especially focusing on the underwriting area, in close cooperation with the respective subject matter experts. We are looking for a working student with expertise in machine learning and data analytics.
What you will do as Working Student - Data Science (m/f/d)

 * Utilizing your expertise in Python, SQL, and relevant data science libraries to extract, analyze and manipulate data from various internal/external sources

 * Applying advanced machine learning and statistical techniques to solve complex business problems

 * Developing, testing, and deploying machine learning models to production environments

 * Building and optimizing data and analytics pipelines, with a focus on scalability and efficiency

 * Exploring the use of LLMs in underwriting and pricing


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