• Continuously improve risk, credit limit, collections, and regulatory models. • Build and monitor the performance of solutions. • Establish control metrics that ensure model performance. • Expand monitoring of customer behavior in the context of the credit framework. • Develop cloud data-processing solutions to deploy models into production. • Actively collaborate with stakeholders — Engineering, Product, Risk, Marketing, and Credit Desk — to build the best technical solutions, always with a customer focus.

• Play a crucial role in transforming data into models that provide actionable insights and drive key decision-making processes. • Work on diverse projects, from data exploration and cleaning to building sophisticated machine learning models. • Help solve complex business and customer problems and enhance our services.

• Dual degree program in Data Science & AI at our Kronberg location • During the practical phases, work independently on clearly defined topics across various SAP modules / SAP products • Full team member in projects and support colleagues on-site at client locations • A designated point of contact will be available to assist with any issues • Mentoring throughout the entire degree and support during both practical and theoretical phases • A joint training plan for the entire course that takes personal, academic and business considerations into account

• Own and evolve data science and analytics architecture across Everstake • Design and maintain scalable data pipelines, metrics layers, and analytical models • Lead technical decision-making across data platforms, BI, and orchestration • Translate blockchain, product, and business problems into clear data solutions • Define data standards, best practices, and development guidelines • Review code, data models, and pipelines for quality, performance, and correctness • Mentor senior data scientists and analysts, provide technical leadership • Partner closely with product, backend, infrastructure, and finance teams • Ensure data reliability, observability, and correctness in production • Actively contribute hands-on where technical depth is required