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# Working Student Data Scientist

- **Company:** Limehome GmbH
- **Location:** München, Germany
- **Salary:** €31,200.0 - €35,360.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, BASIC (Programming Language), Big Data, Database Queries, Python (Programming Language), Machine Learning, NumPy, Pandas, Matplotlib, Scikit Learn, Information Technology, Free and Open-Source Software, Data Pipelines
- **Published:** August 12, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=d3fce1204f02ada0

## About the Role

* Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Physics or another quantitative field.
 * First hands-on experience with Python through university, internships, personal projects, or open-source contributions and basic knowledge of SQL and working with structured data.
 * Familiarity with common Python libraries such as Pandas, NumPy, Matplotlib, or Scikit-Learn.
 * Strong analytical thinking and a structured approach to problem-solving, backed by a solid understanding of probability, statistics, and basic machine learning concepts.
 * Curiosity about applying data science to real business challenges.
 * Excellent communication skills in English and the ability to explain analytical findings clearly.

## Description

* Support the development and continuous improvement of our pricing algorithms through data analysis and experimentation.
 * Prepare, clean, validate, and explore large datasets to uncover meaningful patterns and commercial opportunities.
 * Assist in developing, evaluating, and comparing statistical and machine learning models.
 * Support the design and analysis of experiments to measure the impact of pricing and product initiatives.
 * Build visualizations and reports that communicate insights clearly to technical and non-technical stakeholders.
 * Help automate recurring analyses and improve existing data science workflows.
 * Collaborate closely with Data Scientists, Data Engineers, Business Intelligence, Product, and Revenue Management on cross-functional projects.
 * Stay curious and continuously expand your knowledge of statistics, machine learning, AI, and modern analytical tools.


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