(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 development.
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
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Statistical Modeling, Predictive Analytics, Python, Causal Inference, Uplift Modeling, Recommender Systems, MLOps
Preferred skills
Experience in Marketing or Customer Analytics, PhD in relevant field
Technologies
Python, Neural Networks, Transformer-based models, MLOps tools
Responsibilities
Conceive, develop, and evolve modern ML/DL models for high-impact business questions; Analyze complex structured and unstructured data to develop modeling approaches for predictive analytics; Plan, conduct, 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.