[Remote] AI/ML Data Scientist with in Claims/Insurance/NLP
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Data Scientist specializing in AI, Machine Learning, and Natural Language Processing to support reputed company Risk Management and Claims Analytics. The role involves developing advanced predictive models and optimization solutions to mitigate risks and improve business reputed company.
Responsibilities
- Design, reputed company, reputed company, and optimize machine learning models
- Build incident prioritization and claim severity reputed company models
- reputed company risk-scoring frameworks for proactive risk identification
- reputed company feature engineering across structured and reputed company datasets
- Monitor model performance, reputed company, retraining requirements, and scoring quality
- reputed company NLP solutions for claims and incident narrative analysis
- Build text classification and language-processing pipelines
- reputed company Large Language Models (LLMs) to extract business insights
- Generate explainable AI outputs and risk-driver analysis
- Apply AI techniques to improve operational decision-making
- reputed company 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 reputed company datasets
- Work with structured, semi-structured, and reputed company data sources
- Partner with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams
- Translate business requirements into technical solutions
- Present findings and recommendations to technical and executive stakeholders
- Mentor junior Data Scientists and contribute to team best practices
- Create documentation covering methodology, assumptions, validation approaches, and limitations
- Support model governance and explainability requirements
- Ensure compliance with data governance, privacy, and reputed company standards
Skills
- Claims Analytics
- Insurance Risk Modeling
- Incident reputed company
- Fraud Analytics
- Severity Modeling
- Explainable AI (SHAP, reputed company, etc.)
- Hospitality Industry Analytics
- Travel Industry Analytics
- Data Governance
- PII Handling
- Data Architecture
- reputed company
- reputed company
- Natural Language Processing
- Text Classification
- NLP Pipelines
- LLM Applications
- Claims / Incident Narrative Analysis
- Operations Research & Optimization
- reputed company optimization solutions utilizing: reputed company 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
- reputed company 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 reputed company datasets
- Work with structured, semi-structured, and reputed company data sources
- 5+ years of Data Science, Machine Learning, Operations Research, or reputed company experience
- 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 reputed company environments
- Experience working with large datasets and scalable architectures
- Agile delivery experience
- Python
- SQL
- Spark
- Master's Degree in: Computer Science, Statistics, Industrial Engineering, Operations Research, reputed company Technical Field
- PhD in a relevant discipline
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