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A11
Düsseldorf
Source: A11 careers · View original posting
From A11's posting. “We” and “our” refer to the employer.
As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent ready to make an impact.
We’re looking for a Principal Data Scientist (m/f/d) to take ownership of a newly built SmartRisk engine in the Credit & Risk department at of one of Europe’s leading B2B mobility and payment platforms.
Our partner company serves customers across more than 50 countries. Built on over 90 years of continuous growth and innovation, the company has evolved into a market-leading platform with around 2,700 employees, processing €19 billion in transaction volume. As the business enters its next phase of development, it is investing heavily in data, AI, and technology-enabled commercial excellence to strengthen its market position and unlock new opportunities at scale.
In this role, you will own a risk model, the SmartRisk engine end to end. From feature strategy and model training to calibration, backtesting, drift monitoring, and explainability. This is a hands-on role, which means you will design data-driven use cases such as early-warning systems, loss databases, limit and exposure steering, and portfolio insights.
With direct exposure to senior decision makers, real influence over how risk is quantified and managed at scale, this role offers a rare opportunity to shape a business critical capability from the inside.
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
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
Ability to independently develop value-adding, cloud-based solutions, including Generative AI use cases such as LLMs, RAG systems, or"talk-to-your-data" interfaces (AI agents or chat interfaces)
Please note that this position is based close to Düsseldorf.
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.
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