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# Senior Data Scientist

- **Company:** A11
- **Location:** Düsseldorf, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Databases, Continuous Integration, Python (Programming Language), Power BI, SAP (Applications), SQL Databases, Management of Software Versions, Large Language Models, Generative AI, Data Analytics, Machine Learning Operations
- **Published:** June 21, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=a92cf9f84e241594

## About the Role

Do you have experience in SQL?, * 5-8 years of experience in Data Science and Machine Learning, confidently applying statistical methods, regression models, time series analyses, classical ML, and modern AI algorithms

 * Highly proficient in Python and SQL, independently developing value-adding, cloud-based solutions, including Generative AI use cases such as LLMs, RAG systems, and "talk-to-your-data" interfaces (AI agents or chat interfaces)
 * Proven track record building robust end-to-end ML pipelines and maintaining MLOps standards (CI/CD, model registry, monitoring, quality checks)
 * Hands-on ownership of risk models such as the SmartRisk Engine (feature strategy, training, calibration, backtesting) and explainability methods like SHAP or Reason Codes
 * Domain knowledge in credit risk (PD, EAD, LGD, rating processes, IFRS 9/ECL) and experience with SAP and Power BI is an advantage
 * You communicate clearly, presenting complex analytical results to business units, IT, and management and translating them into actionable results
 * Experience mentoring and guiding other Data Scientists is an advantage

Please note that this position is based close to Düsseldorf. At least three days per week on-site are preferred.

## Description

* Take full ownership of data-driven analyses, independently deriving actionable recommendations to maximise business value
 * Develop and apply advanced statistical methods (regression models, time series analyses, ML/AI algorithms) and translate results into clear, compelling business insights
 * Design and maintain robust end-to-end ML pipelines (data, features, models, scoring), including testing, versioning, documentation, and MLOps standards such as CI/CD, model registry, monitoring, data-quality checks, and incident handling
 * Collaborate closely with stakeholders and management
 * Own the SmartRisk Engine within Credit & Risk Management: feature strategy, training/retraining, calibration, backtesting, drift monitoring, and explainability via SHAP/Reason Codes
 * Build data-driven use cases such as loss databases, early-warning systems, limit/exposure steering, clustering, and portfolio insights
 * 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
 * Mentor and guide other Data Scientists, encourage innovative thinking, and actively support the team's professional growth, * Full ownership from day one. You will be the one owning the engine, not coordinating from the sidelines.
 * Close collaboration with senior leadership and visibility to C-level stakeholders.
 * An international, diverse environment spanning HQ strategy teams to field sales organisations across European markets.
 * Flexible hybrid working, company health management, Jobrad eBike leasing, and parent-child offices


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