Tharu Technologies

Tharu Technologies

Lead Data Scientist

Chicago, Illinois, USA · full-time, part-time, contract, third party

Sponsorship not specifiedDetected 47 days ago
PythonData StructuresAlgorithmsAWSGCPAzureCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData ScienceData VisualizationLLMsRAGAgentic AILangGraphStatisticsA/B TestingLeadershipCommunicationCollaboration

About the role

  • We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for our insurance operations.
  • You will design, develop, and deploy advanced GenAI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwriting.
  • Leading a team, you'll integrate AI into production systems on Cloud platforms, drive model performance, and align innovations with business goals in the dynamic insurance landscape.

Responsibilities

  • Generative AI & Agentic Workflows: Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like LangGraph/LangChain to automate insurance processes such as policy binding and claims adjudication.
  • Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution.
  • Model Development & Deployment: Architect, build, and refine ML/GenAI models (traditional and generative) to tackle insurance challenges like predictive analytics for market risk, anomaly detection in claims, and isolation forests for fraud.
  • Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability.
  • Leadership & Collaboration: Lead cross-functional teams to integrate AI into existing workflows, enhancing efficiency in underwriting, binding authority, and operations.
  • Develop robust benchmarks, evaluation metrics, and monitor model drift/bias in large insurance datasets.

Requirements

  • Bachelor s/master s in computer science, Statistics, Data Science, or related field.
  • 10+ years in ML/Data Science, with 3+ years leading GenAI projects in insurance/finance.
  • Expertise in Python, ML libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and GenAI frameworks (LangChain, LangGraph).
  • experience with large datasets, visualization (Matplotlib, Seaborn, Tableau).
  • & Talents: Bachelor s/master s in computer science, Statistics, Data Science, or related field.

Skills

  • Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance).
  • Deploy scalable models in production on AWS/Azure/Google Cloud Platform.
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