Senior Data Scientist (m/f/d)

The role

You will own the SmartRisk engine end to end within the Credit & Risk department. You will develop data-driven use cases, manage ML pipelines, and apply statistical methods to drive business value.

What you will do

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

Required qualifications

• 5-8 years of experience in Data Science and Machine Learning
• Highly proficient in Python and SQL
• Ability to independently develop value-adding, cloud-based solutions including Generative AI use cases
• Proven track record building robust end-to-end ML pipelines and maintaining MLOps standards
• Experience with hands-on ownership of machine learning models and explainability methods
• Ability to communicate complex analytical results to business units, IT, and management
• Fluent in English

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
• Knowledge in German

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 most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent. The partner company is a market-leading B2B mobility and payment platform with around 2,700 employees.