Lead Data Scientist

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.

Key Responsibilities

Provide technical leadership for Data Science, Machine Learning, GenAI, and Agentic AI initiatives

Coach, mentor, and support junior Data Scientists

Partner with the Data Science Lead to guide project execution and delivery

Lead model development, training, testing, tuning, and deployment activities

Develop production-ready AI and ML solutions

Collaborate with ML Engineers, Data Engineers, and Software Engineers

Drive best practices across model development, deployment, monitoring, and governance

Research and evaluate emerging AI technologies and frameworks

Communicate technical solutions and recommendations to business stakeholders

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.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Master’s or PhD in a quantitative field

Strong Python and SQL skills

Experience mentoring coaching, mentoring, and supporting junior Data Scientists

Experience building, training, and deploying machine learning models

Experience with 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