Junior Data Scientist

• Developing and evaluating metrics for quality assurance of generated responses in RAG systems
• Optimizing indexing and search strategies to improve the accuracy and efficiency of RAG applications
• Developing and implementing data science applications with a cross-functional team and/or external service providers.
• Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting, etc.) and in the context of GenAI (for example, Large Language Models, Fine-Tuning, etc.)
• Visualizing and analyzing large datasets, for example to detect bias or data drift; optimizing and maintaining semi-automated MLOps and DevOps processes
• Close collaboration with product owners and IT specialists to ensure smooth processes and reliable results.
• Technical development of AI applications based on data analysis insights in collaboration with subject matter experts

DRV Bund IT is the service provider for the German Federal Pension Insurance Fund (Deutsche Rentenversicherung Bund) and develops and operates a complex IT system landscape in close collaboration with its clients.
Our software for the audit service safeguards the pension system. Through our work, we make a significant contribution to contribution fairness. We uncover wage irregularities for employees, thereby ensuring fairness on a personal level for citizens as well. The agile values ​​of commitment, courage, focus, openness, and respect form the basis of our work. Our employees are our most valuable asset. They form the foundation of development within the department and play a key role in shaping it.

• Successfully completed university education (Bachelor's or Diploma FH) in the IT field or comparable qualification (for example, IT-specific qualification) or completed vocational training in the IT field or comparable several years of practical experience in the IT field.
• Several years of professional experience in the context of developing machine learning methods and modeling complex automated AI systems, including at least one year in the role of Data Scientist
• Concrete project experience with agile methodologies for software development, including at least one AI reference project.
• Experience in the field of Advanced Analytics, Big Data and Data Mining
• Several years of practical experience in programming languages ​​for data analysis (especially Python) including common machine learning frameworks (for example, scikit-learn, PyTorch)
• Knowledge of database management systems and container technologies (for example, Kubernetes) and their interaction with traditional database environments
• Experience in selecting and integrating suitable Large Language Models (LLMs) and adapting them for domain-specific use cases
• Proactive communication skills, a strong willingness to cooperate, and networked thinking in agile collaboration round off your profile.

People with severe disabilities or those with equivalent status as defined in Section 2, Paragraphs 2 and 3 of the German Social Code, Book IX (SGB IX), will be given preferential consideration if equally qualified. Applications from people of all nationalities are welcome.

This job posting relates to an area where women are underrepresented as defined by the Federal Equal Opportunities Act. The German Federal Pension Insurance Fund is committed to promoting women in the workforce. We therefore particularly welcome applications from women.