Description

Must have:

· Claims Analytics

· Insurance Risk Modeling

· Incident Prediction

· Fraud Analytics

· Severity Modeling

· Explainable AI (SHAP, LIME, etc.)

· Hospitality Industry Analytics

· Travel Industry Analytics

· Data Governance

· PII Handling

· Data Architecture

· Databricks

· Snowflake

· Natural Language Processing

o   Text Classification

o   NLP Pipelines

o   LLM Applications

o   Claims / Incident Narrative Analysis

Operations Research & Optimization

Develop optimization solutions utilizing:

· Linear Programming (LP)

· Integer Programming (IP)

· Mixed Integer Programming (MIP)

· CPLEX

· Gurobi

· Apply mathematical optimization techniques to business and operational challenges

· Support resource allocation and decision optimization initiatives

Data Science & Advanced Analytics

· Develop predictive analytics and statistical modeling solutions

· Build record-linkage and entity-resolution models where unique identifiers do not exist

· Support large-scale data analysis across enterprise datasets

· Work with structured, semi-structured, and unstructured data sources

· 5+ years of Data Science, Machine Learning, Operations Research, or related experience

o   2+ years may be acceptable with a relevant PhD

· Proven experience building production-grade machine learning solutions

· Strong experience with predictive analytics and risk modeling

· Experience deploying models into enterprise environments

· Experience working with large datasets and scalable architectures

· Agile delivery experience

Programming & Data Technologies

· Python

· SQL

· Spark

Key Skills

Education

Bachelor's degree