Senior Demand Planning, Staff Analyst
Core
Developing and deploying machine learning and deep learning models for predictive analytics, anomaly detection, and decision support in the insurance domain.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Production-ready ML/DL applications and scalable pipelines for business-critical questions.
Domain
Insurance / Machine Learning / Deep Learning
Deliverable
production ML models
Required skills
Machine Learning, statistical modeling, Predictive Analytics, Python programming, Causal Inference, Uplift-Modelling, Recommender Systems, Transformer-based models, MLOps
Preferred skills
Experience in Marketing or Customer Analytics, PhD in relevant field
Technologies
Python, Neural Networks, Transformers, MLOps tools
Responsibilities
Conceive and develop modern ML/DL/statistical models for high-impact business questions; Analyze complex structured and unstructured data to build predictive models; Plan and evaluate experiments to validate data-driven hypotheses; Transfer scientific insights into robust production applications; Develop and operate scalable, reproducible ML/DL pipelines using MLOps standards.