About the job
Design and deliver machine learning and NLP solutions to help identify high-risk incidents, predict claim severity, and improve decision-making through scalable, explainable analytics.
Senior Data Scientist, Risk & Claims Analytic
sMinimum qualification
- sMaster’s degree in a quantitative field (PhD preferred
- )5+ years of data science or ML experience (2+ with PhD
- )Experience with Python, SQL, Spark, and cloud platforms (AWS, GCP, Azure
- )Experience building and deploying ML model
sPreferred qualification
- sExperience with NLP, optimization (LP/MIP), and MLOp
- sKnowledge of data governance and PII handlin
- gStrong stakeholder communication skill
- sBackground in risk, insurance, or claims analytic
sResponsibilitie
- sTranslate business problems into data science solutions aligned to KPI
- sBuild ML/NLP models for incident prioritization and claim severity predictio
- nPerform data preparation, feature engineering, and record linkag
- eGenerate explainable insights for business stakeholder
- sCollaborate with cross-functional teams across engineering, risk, and lega
- lMonitor model performance, drift, and retraining need
- sDocument models, validate results, and ensure data governance complianc
- ePresent insights clearly to technical and non-technical audiences
$75-110/Hr