Senior Data Scientist (gn) fulltime/parttime (hybrid)

Do you want to play an active role in driving a company’s growth and turning big plans into reality? Then join our team! You can look forward to exciting challenges, an inspiring environment, and a work culture that combines flexibility and collaboration – with our 60/40 hybrid model and modern offices in Ratingen as a hub for ideas. As part of our team, you will take on the following responsibilities:

• You take full responsibility for data-driven analyses and independently derive actionable recommendations to maximize business value.
• You develop and apply advanced statistical methods such as regression models, time series analyses, and ML/AI algorithms while closely collaborating with stakeholders and management; you translate analytical results into clear, compelling business insights.
• You design and maintain robust end-to-end ML pipelines (data, features, models, scoring), including testing, versioning, documentation, and establishing MLOps standards such as CI/CD, model registry, monitoring, data‑quality checks, and incident handling.
• With a focus on Credit & Risk Management, you own the SmartRisk Engine (feature strategy, training/retraining, calibration, backtesting, drift monitoring, and model explainability via SHAP/Reason Codes) and implement data-driven use cases such as loss databases, early‑warning systems, limit/exposure steering, clustering, and portfolio insights.
• You develop new cloud-based Data Science solutions—primarily in Python and SQL—to drive measurable business value; ideally, you bring knowledge in credit risk (e.g., PD, EAD, LGD, rating, IFRS 9/ECL) and experience with SAP and Power BI.
• You mentor and guide other Data Scientists, encourage innovative thinking, share updates on data & ML advancements, and actively support the professional growth of the team.