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- During your internship, you will be responsible for maintaining and enhancing a large, complex Excel-based management system, ensuring its reliability and usability.
- You will use Python (with libraries such as pandas, matplotlib, and sklearn) and Databricks to extract actionable insights from field data and support ongoing projects.
- Additionally, you will refine MS Power BI dashboards to effectively communicate data insights and trends, thereby supporting data-driven decision-making.
- Last but not least, you will contribute to the improvement of an existing Retrieval-Augmented Generation (RAG) model for document analysis, including prompt optimization and performance evaluation.
- Education: Master studies in the field of in Computer Science, Data Science, Mathematics, Engineering or comparable – preferably with a strong focus on data analysis
- Experience and Knowledge: highly proficient in MS Excel, with strong skills in advanced formulas, data manipulation and automation; solid programming skills in Python with hands-on experience with hands-on experience using data analysis libraries such as pandas, matplotlib, and sklearn; familiarity with LLM concepts and Retrieval-Augmented Generation (RAG) pipelines; proficiency in developing and maintaining MS Power BI dashboards
- Personality and Working Practice: you are a motivated, fast-learning team player
- Enthusiasm: a passion for working with data, creating insightful analytics and contributing to innovative heat pump technology
- Languages: fluent in German or English
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