(Senior) Applied Scientist (Machine Learning) (w/m/d)
Core
Develop and deploy production-ready machine learning and deep learning models for critical business questions in insurance pricing, claims management, and product innovation.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Scalable, reproducible ML/DL pipelines and robust production applications for predictive analytics and anomaly detection.
Domain
Insurance / Machine Learning / Deep Learning
Deliverable
production ML models
Required skills
Machine Learning, statistical modeling, Predictive Analytics, Python, Deep Learning, Transformer-based models, MLOps, Causal Inference, Uplift Modeling, Recommender Systems
Preferred skills
PhD in relevant field, experience in Marketing or Customer Analytics
Technologies
Python, Neural Networks, Transformers, MLOps tools
Responsibilities
Conceive, develop, and evolve modern ML/DL models for high-impact business questions; Analyze complex structured and unstructured data to build modeling approaches for forecasting and anomaly detection; Plan, execute, and evaluate experiments to validate data-driven hypotheses; Transfer scientific insights into robust, production-ready applications; Develop and operate scalable ML/DL pipelines with a focus on stability and reproducibility.
Seniority
Senior, hands-on IC