Principal Data Scientist (m/f/d)

The role

You will own the Smart Risk Engine end to end, including feature strategy, model training, and monitoring. You will design data-driven use cases like early-warning systems and portfolio insights to manage credit risk.

What you will do

• Take full ownership of data-driven analyses and derive actionable recommendations
• Develop and apply advanced statistical methods and ML/AI algorithms
• Design and maintain robust end-to-end ML pipelines and MLOps standards
• Collaborate closely with stakeholders and management
• Own the SmartRisk Engine including feature strategy, training, calibration, and backtesting
• Build use cases such as loss databases, early-warning systems, and portfolio insights
• Develop new cloud-based Data Science solutions in Python and SQL
• Mentor and guide other Data Scientists

Required qualifications

• 5-8 years of experience in Data Science and Machine Learning
• Proficient in Python and SQL
• Experience developing cloud-based solutions including Generative AI use cases
• Track record building end-to-end ML pipelines and maintaining MLOps standards
• Hands-on ownership of risk models and explainability methods
• Communicate complex analytical results to business units, IT, and management
• Fluent in German and English (min. C1 Level)

Nice to have

• Knowledge in credit risk (e.g., PD, EAD, LGD, rating, IFRS 9/ECL)
• Experience with SAP and Power BI
• Experience mentoring and guiding other Data Scientists

Benefits

• Full ownership from day one
• Close collaboration with senior leadership and visibility to C-level stakeholders
• International, diverse environment
• Flexible hybrid working
• Company health management
• Jobrad eBike leasing
• Parent-child offices

About the company

A11 partners with Europe’s startups, scaleups, corporates and SMBs to connect them with talent. Their partner company is a market-leading B2B mobility and payment platform with around 2,700 employees.