Applied Scientist - Machine Learning (m/w/d)
Core
Developing and deploying 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
Robust, scalable ML/DL pipelines and 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 programming, neural networks, Transformer-based models, MLOps standards
Preferred skills
Causal Inference, Uplift-Modelling, Recommender Systems, Personalization solutions
Technologies
Python, neural networks, Transformer-based models, MLOps tools
Responsibilities
Conceive, develop, and evolve modern ML, Deep Learning, and statistical models for high-impact business questions; Analyze complex structured and unstructured data to develop modeling approaches for predictive analytics and anomaly detection; Plan, conduct, and evaluate experiments to validate data-driven hypotheses; Transfer scientific insights into robust, production-ready applications; Develop and operate scalable, reproducible ML/DL pipelines with a focus on stability and scalability.
Seniority
Senior, hands-on IC