Senior Applied AI & Data Scientist

Senior Applied AI & Data Scientist

Location: Prefer hybrid at New Haven, CT office but open to 100% remote

Employment Type: Direct Hire / Full-Time

Role Overview:

Seeking a Senior Applied AI & Data Scientist to design, develop, and deploy enterprise AI, Machine Learning, and Generative AI solutions. The role focuses on building production-ready LLM, RAG, and Agentic AI applications, advanced analytics, and predictive models to support Life Insurance, Investments, Membership, and Charitable business functions.

Key Responsibilities:

• Lead end-to-end AI/ML solution development, from data analysis to production deployment.
• Build LLM, Generative AI, RAG, and Agentic AI solutions using enterprise data.
• Develop machine learning and statistical models for insurance, actuarial, claims, risk, and investment functions.
• Build feature pipelines, embeddings, vector search, and knowledge retrieval solutions.
• Establish model evaluation, monitoring, performance tracking, and CI/CD processes.
• Implement responsible AI practices, including bias detection, transparency, and governance.
• Collaborate with business stakeholders, data engineers, and architects to deliver scalable AI solutions.

Must-Have Requirements:

• 6+ years of experience in Data Science, Advanced Analytics, and Machine Learning, including production deployment.
• 2+ years of enterprise GenAI/LLM experience (RAG, AI Agents, Evaluation, Guardrails).
• Strong Python and SQL skills.
• Hands-on Snowflake (Snowpark/Cortex) and PostgreSQL experience.
• Experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Experience with Vector Databases, Embeddings, and Hybrid Search.
• Experience deploying production AI services, APIs, monitoring, and CI/CD.

Preferred Qualifications:

• Financial services experience (Life Insurance, Annuities, or Investments).
• Experience with IBM DB2, Talend, and legacy-to-cloud modernization.
• Familiarity with MLflow, Docker, FastAPI, or Flask.