Support the Data Product Management team at Clearstream in developing innovative data products and analytical solutions
Apply data analytics and build machine learning models to improve operational efficiency according to business requirements
Work with various data sources, including big data tools (e.g., Azure Databricks) and cloud technologies, to create consolidated datasets from multiple sources
Collaborate with different stakeholders under the guidance of an experienced supervisor
Regularly discuss with the team and present solutions and findings
Participate in projects on data mining and machine learning to identify patterns and create forecasts to predict future behavior

Enrolled as a regular student at a state-recognized university for the entire period of employment
Completed at least 2 semesters with a focus in Computer Science, Mathematics/Statistics, Physics, Engineering, Business Administration, Information Technology, Management, or another relevant quantitative field
Good knowledge of Machine Learning / AI and Python (PySpark, pandas, scikit-learn) or other programming languages
Basic knowledge of database backend technologies (e.g., SQL, relational databases, data modeling)
Comfortable working with structured and unstructured data
Preferably practical experience conducting quantitative analysis (e.g., study abroad, internships)
Interest in financial data
Able to quickly understand technical information, derive insights, and devise solutions
Independent and responsible working style with attention to detail and agile communication
Passion for learning
Proficient in written and spoken English.

Working Student – Data Science

Key skills