Lead Data Scientist (m/f/d)

Düsseldorf. Posted 4 months ago

The role

You will take ownership of the SmartRisk engine in the Credit & Risk department. You will develop data-driven use cases, manage end-to-end ML pipelines, and mentor other Data Scientists.

What you will do

Take full ownership of data-driven analyses to maximise business value
Develop and apply advanced statistical methods and translate results into business insights
Design and maintain robust end-to-end ML pipelines including 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 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 cloud-based solutions including Generative AI use cases
Proven track record building 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

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 is an advantage
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 startups, scaleups, corporates and SMBs to connect them with talent. Their partner company is a leading B2B mobility and payment platform with around 2,700 employees.