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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 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 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