Note The job is a remote job and is open to candidates in USA. Forbes Technical Consulting is seeking a Senior Data Scientist for their Claims & Incident Analytics team. The role focuses on developing machine learning and NLP solutions to improve claims and incident mitigation analytics.

Responsibilities

Translate risk management business requirements into well-defined data science solutions, including incident prioritization and claim severity classification Profile, clean, and prepare claims and incident data for modeling and scoring Develop feature engineering logic using structured and unstructured data sources Apply NLP and text-processing techniques to claim and incident narratives to extract risk signals Build record-linkage approaches to connect incidents and claims where clean unique identifiers are unavailable Build and validate models that rank incidents by likelihood of escalation or intervention needed Build and validate claim severity models that classify claims by financial impact and high-dollar risk Generate explainability outputs including key risk drivers and business-readable flags for incidents and claims Collaborate cross-functionally with Legal, Data Engineering, BI, Data Governance, and MLOps partners Monitor model performance, drift, scoring quality, and retraining needs Document modeling assumptions, feature logic, validation results, limitations, and handoff requirements Ensure appropriate handling of PII and sensitive data fields per governance standards Present findings and recommendations clearly to both business and technical stakeholders Skills Expertise in operations research modeling (LP, IP, MIP) and solvers such as CPLEX or Gurobi Expertise in machine learning — supervised, unsupervised, and deep learning methods Expertise in feature engineering, model evaluation, and hyperparameter tuning Proficiency in Python, SQL, and Spark; experience with Scikit-Learn, XGBoost, TensorFlow, PyTorch, MXNet, and LLM frameworks Experience developing and deploying solutions in cloud environments (AWS, Azure, or GCP) with large datasets Experience with streaming data architectures and Agile methodology Familiarity with DevOps and CI/CD concepts Master's degree in Computer Science, Statistics, Industrial Engineering, or related field (PhD preferred) 5+ years of data science or operations research experience (2+ years with a PhD) Company Overview Forbes Technical Consulting provides IT staffing for contract, contract-to-hire, and direct-hire openings. It was founded in 1999, and is headquartered in Chicago, Illinois, USA, with a workforce of 11-50 employees. Its website is https//forbestc.com. Apply To This Job