(Senior) Applied Scientist (Machine Learning) (w/m/d)
Core
Transform data into value for 13M+ customers by developing production-ready ML applications for pricing, claims management, and new product development.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Production ML models, predictive analytics pipelines, and scalable MLOps infrastructure for insurance products.
Domain
Insurance / Machine Learning / Predictive Analytics
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, statistical modeling, Python programming, Predictive Analytics, Causal Inference, Uplift Modeling, Recommender Systems, MLOps
Preferred skills
PhD, experience in Marketing or Customer Analytics, experience with Transformer-based models
Technologies
Python, Neural Networks, Transformers, MLOps tools
Responsibilities
Conceive and develop modern ML/Deep Learning models for strategic business questions; analyze complex structured and unstructured data; plan and evaluate experiments to validate data-driven hypotheses; transfer scientific insights into robust production applications; develop and operate scalable ML/DL pipelines.
Seniority
Senior, hands-on IC
