Role OverviewOur client is looking for a Data Scientist / Machine Learning Engineer who is well-versed with different supervised and unsupervised 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).
What You Will Do
The Data Scientist / Machine Learning Engineer will be responsible for developing propensity models within the insurance business domain, working with predictive models, and applying NLP techniques.
Why It Might Be a Fit
The ideal candidate should have insurance domain experience, specifically in Underwriting/Claims, and be proficient in Python, with prior experience in AWS SageMaker, Databricks, and Palantir Foundry and AIP.
Requirements
- Insurance domain experience (specifically Underwriting/Claims)
- Developed propensity models within insurance business domain
- Proficient at Python
- Prior experience in AWS SageMaker, Databricks, etc.
- Familiar with NLP techniques (OCR based text extraction, document classification, document summarization)
- Palantir Foundry and AIP experience is a plus
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