Description

Risk & Claims Analytics
Claims analytics
Insurance risk modeling
Incident prediction
Fraud analytics
Severity modeling
Hospitality or travel industry analytics
AI/ML & Explainable AI
Production-grade ML model development
Explainable AI (SHAP, LIME, etc.)
Predictive analytics & risk scoring
Model deployment, monitoring, drift management
NLP & LLM Experience
Text classification
NLP pipelines
LLM applications
Claims/incident narrative analysis
Operations Research & Optimization
Linear Programming (LP)
Integer Programming (IP)
Mixed Integer Programming (MIP)
CPLEX or Gurobi
Optimization modeling for resource allocation & decisioning
Data Engineering & Architecture
Databricks
Snowflake
Data governance & PII handling
Large-scale data processing (structured + unstructured)
Programming & Tools
Python
SQL
Spark

⭐ Required Experience
5+ years in Data Science, ML, NLP, or Operations Research
(2+ years acceptable with relevant PhD)
Proven experience building production ML systems
Experience with risk, claims, fraud, or incident analytics
Experience working in enterprise environments
Agile delivery experience

⭐ Education
Required: Master’s in CS, Statistics, Industrial Engineering, Operations Research, or related Preferred: PhD

Key Skills

Education

Master's degree