Job Description
Translate business needs (e.g., risk management, claims, operations) into well-scoped data science solutions aligned to KPIs
Design, build, and deploy:
Machine learning models
Optimization models
NLP solutions for claims/incident analysis
Develop models to:
Predict incident escalation into claims
Classify claim severity and financial impact
Identify high-risk scenarios for proactive intervention
Perform data profiling, cleansing, and feature engineering across structured and unstructured datasets
Apply NLP techniques to extract insights from incident and claims narratives
Build record linkage solutions to connect disparate datasets
Collaborate with cross-functional teams (Risk, Legal, Data Engineering, BI, Governance, MLOps)
Validate, monitor, and continuously improve model performance (drift, retraining, scoring quality)
Generate explainable outputs (risk drivers, model reasoning) for business stakeholders
Document models...