Working Student in Supervisory Technologies (AI Team) | Zwei Werkstudierende im Bereich „Supervisory Technologies“

Job Summary

This role offers two working students the opportunity to join the AI team, contributing to the development and optimization of innovative applications supporting banking and financial supervision. Day-to-day tasks involve actively participating in the enhancement of Python-based data processing, specifically focusing on ETL processes for unstructured data. You will be instrumental in data preparation, transformation, and analysis using modern technologies like Python and SQL, with tools such as Pandas or PySpark. The position also includes supporting documentation and quality assurance for these processes. This is an attractive opportunity to gain practical experience in a forward-thinking environment, offering flexible working hours (up to 20 per week during semesters) to accommodate studies, with a one-year contract and potential for extension.