[Remote] AI/ML Data Scientist with in Claims/Insurance/NLP

Note: The job is a remote job and is open to candidates in USA. KPG99 INC is seeking a Senior Data Scientist specializing in AI, Machine Learning, and Natural Language Processing to support enterprise Risk Management and Claims Analytics. The role involves developing advanced predictive models and optimization solutions to mitigate risks and improve business outcomes.ResponsibilitiesDesign, develop, deploy, and optimize machine learning modelsBuild incident prioritization and claim severity prediction modelsDevelop risk-scoring frameworks for proactive risk identificationPerform feature engineering across structured and unstructured datasetsMonitor model performance, drift, retraining requirements, and scoring qualityDevelop NLP solutions for claims and incident narrative analysisBuild text classification and language-processing pipelinesLeverage Large Language Models (LLMs) to extract business insightsGenerate explainable AI outputs and risk-driver analysisApply AI techniques to improve operational decision-makingDevelop predictive analytics and statistical modeling solutionsBuild record-linkage and entity-resolution models where unique identifiers do not existSupport large-scale data analysis across enterprise datasetsWork with structured, semi-structured, and unstructured data sourcesPartner with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teamsTranslate business requirements into technical solutionsPresent findings and recommendations to technical and executive stakeholdersMentor junior Data Scientists and contribute to team best practicesCreate documentation covering methodology, assumptions, validation approaches, and limitationsSupport model governance and explainability requirementsEnsure compliance with data governance, privacy, and security standardsSkillsClaims AnalyticsInsurance Risk ModelingIncident PredictionFraud AnalyticsSeverity ModelingExplainable AI (SHAP, LIME, etc.)Hospitality Industry AnalyticsTravel Industry AnalyticsData GovernancePII HandlingData ArchitectureDatabricksSnowflakeNatural Language ProcessingText ClassificationNLP PipelinesLLM ApplicationsClaims / Incident Narrative AnalysisOperations Research & OptimizationDevelop optimization solutions utilizing: Linear Programming (LP), Integer Programming (IP), Mixed Integer Programming (MIP), CPLEX, GurobiApply mathematical optimization techniques to business and operational challengesSupport resource allocation and decision optimization initiativesDevelop predictive analytics and statistical modeling solutionsBuild record-linkage and entity-resolution models where unique identifiers do not existSupport large-scale data analysis across enterprise datasetsWork with structured, semi-structured, and unstructured data sources5+ years of Data Science, Machine Learning, Operations Research, or related experience2+ years may be acceptable with a relevant PhDProven experience building production-grade machine learning solutionsStrong experience with predictive analytics and risk modelingExperience deploying models into enterprise environmentsExperience working with large datasets and scalable architecturesAgile delivery experiencePythonSQLSparkMaster's Degree in: Computer Science, Statistics, Industrial Engineering, Operations Research, Related Technical FieldPhD in a relevant disciplineCompany OverviewOur business consulting services are led by significant domain depth built on a robust technology-driven services platform. It was founded in 2013, and is headquartered in Hampton, New Jersey, USA, with a workforce of 51-200 employees. Its website is https://www.kpg99.com/.