Description

  • Classification/Regression) and unsupervised/clustering ML models 
    looking for hands-on experience around these predictive models (from data pre-processing to EDA to Modeling to Evaluation). 
  • Classification – Logistic Regression, Decision Tree, Random Forest 
  • Regression – Linear, Gradient Boosting, Neural Nets, KNN 
  • Unsupervised – K-means and other clustering techniques 
  • Should have insurance domain experience (specifically Underwriting/Claims)
  • Should have developed propensity models within insurance business domain
  • Should be proficient at Python
  • Should have prior experience in AWS SageMaker, Databricks, etc.
  • Should be familiar with NLP techniques (OCR based text extraction, document classification, document summarization)
  • Palantir Foundry and AIP experience is a plus

Key Skills
Education

Any Gradute

Back To Jobs