Data Scientist – End-to-End ML for Insurance Ops
Summary
Build and deploy predictive models for insurance operations using Python, SQL, and ML frameworks like TensorFlow and XGBoost.
Randstad Malaysia in Kuala Lumpur is seeking an experienced Data Scientist to design, build, and deploy predictive models to improve insurance operations. You will develop time series forecasts, detect anomalies, and create robust feature pipelines using Python and SQL.
The role requires 4+ years of production ML experience, strong business sense, and proficiency with TensorFlow, PyTorch, XGBoost, and Scikit-Learn. Collaboration with executives and technical leads is essential.