Job Description
Your profile :
- 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.
Benefits and Perks:
- 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
If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!
Our Commitment to Diversity and Inclusion
A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.
