Job Description

• Role: Data Scientist / ML Engineer
• Location: New York / Atlanta
• Type: Fulltime, Hybrid

Our client is looking for a Data Scientist / Machine Learning Engineer who is  well-versed with different supervised (Classification/Regression) and unsupervised/clustering ML models. He/She should understand how these model algorithms work. This resource is expected to have 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

Requirements:

• 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

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