This is a very interesting project focused on pricing optimisation for insurance companies, using an ensemble of predictive models. The tech stack includes: pandas, numpy, PyTorch, SHAP, and scikit-learn.

We are looking for candidates with experience in building predictive models for time series, strong attention to detail, and a continuous desire to improve and expand their machine learning skills.

Responsibilities

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end-to-end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python d...