Senior Data Scientist

Data ScientistRequired Skills & Experience: Master's or PhD in a quantitative field. Strong Python and SQL skills. Experience building, training, and deploying machine learning models. Experience building an agent, Agentic AI, RAG, Agentic RAG, and LLM-based applications. Experience with AWS Bedrock and SageMaker. Strong understanding of regression, classification, clustering, anomaly detection, and statistical modeling. Experience working with structured and unstructured data. Experience writing production-grade code and partnering with engineering teams to deploy AI/ML solutions. Strong communication and collaboration skills.Nice to Have Skills & Experience: Experience with LangChain, LangGraph, LangFuse, Vector Databases, or AgentCore. Experience building enterprise Agentic AI applications. Experience with Azure OpenAI or AWS AI services. Experience with MLOps, DevSecOps, and CI/CD. Financial Services, Insurance, Wealth Management, or Retirement industry experience.Job Description: Our client is building an AI-powered advisor intelligence platform that combines Machine Learning, Generative AI, and Agentic AI to help business users identify opportunities, predict risks, and receive recommended next-best actions.Seeking a Data Scientist to develop and deploy Machine Learning and Agentic AI solutions that turn complex business data into actionable insights. This role will partner closely with Data Scientists, Data Engineers, ML Engineers, and Software Engineers to build production-ready AI applications.