Leading Client
Location - New Jersey, NJ (ONSITE)
Full Time
Role - Data Scientist
Work Experience – 5-10 years
Job Summary
We are looking for someone who is well-versed with different supervised (Classification/Regression) and unsupervised/clustering ML models. He/She should understand how these model algorithms work. We are 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
