
Data Science
In focus: optimization
The core task of the Data Science division is to optimize our debt collection processes. The focus here is on Germany, whereas the orientation of colleagues in Business Analytics is more international.
A science in itself. Just up your street.
The essence of Data Science is developing and implementing data models, as well as detecting weak spots in current debt collection procedures and optimising them. Taking the Best Next Action approach enables us to define the sequence of activities to benefit the debtor. In other words, empirical data is incorporated into the models and subsequently processed. Close cooperation with our IT colleagues is therefore imperative. Our goals include:
- Identifying efficient solutions
- Isolating and detecting problems
- Developing cutting-edge, analytical solutions
- Critically assessing the effectiveness of debt collection operations
- Developing innovative ideas for debt collection management
- Developing new standards for technical systems
- Designing and implementing analytical models into technical systems

I had a great start. Even on my first day, I was encouraged to make decisions and take part in meetings.Maria Bockhahn, Data Scientist - EOS Analytics
A vision behind every project
The key to our revolutionary FX debt collection software, used daily by around 2400 experts, lies in our analytical expertise. Our analysts have specified that the majority of decisions should be made by the database, enabling them to then be customised on a follow-up level.