Senior Applied AI & Data Scientist (Fintech)

TL;DR

Senior Applied AI & Data Scientist (Fintech): Designing, building, and deploying AI-powered solutions for life insurance, investments, and membership with an accent on GenAI, LLMs, and production-ready machine learning. Focus on implementing RAG, agentic workflows, and responsible AI controls within a regulated enterprise ecosystem.

Location: New Haven, CT, US. Authorization to work in the United States is required; this position is not eligible for visa sponsorship.

Salary: $122,000 - $207,500

Company

A tax-exempt Catholic fraternal benefit society providing financial security through life insurance, investments, and annuity products.

What you will do

• Own end-to-end delivery of AI solutions from problem framing and exploratory analysis through production deployment.
• Design and deliver LLM-enabled analytics and "Deep Research" capabilities using RAG over structured and unstructured enterprise data.
• Build agentic workflows and multi-step orchestration (tool use, function calling, retrieval) to automate business processes.
• Develop advanced statistical and machine learning models supporting insurance, actuarial, claims, risk, and investment decisions.
• Engineer reusable feature pipelines, embeddings, vector search patterns, and semantic metadata strategies.
• Apply responsible AI practices, including bias/fairness assessments, transparency documentation, and audit-ready controls.

Requirements

• 6+ years of experience delivering advanced analytics and machine learning solutions, including production deployment.
• 2+ years of experience delivering GenAI/LLM solutions (RAG, agents, evaluation/guardrails) in an enterprise environment.
• Strong Python and SQL skills, with experience in ML libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Hands-on experience with Snowflake (Snowpark/Cortex) and relational databases like PostgreSQL.
• Experience with vector search, embeddings, and knowledge retrieval patterns.
• Must have valid authorization to work in the United States.

Nice to have

• Experience in financial services (life insurance, annuities, investments) and regulated model governance.
• Experience with legacy-to-cloud data modernization and integration tools like Talend.
• Experience with ML lifecycle tooling (MLflow), containerization (Docker), and API frameworks (FastAPI/Flask).

Culture & Benefits

• Competitive retirement benefits including a 401(k) with company matching and fully funded cash balance retirement plans.
• Comprehensive health, dental, and vision insurance with employer contributions to HSAs.
• Generous time off with 13 paid holidays per year, plus vacation and paid sick leave.
• Support for professional development through certifications and tuition reimbursement.
• Paid parental leave (one week) and childbirth leave under STD policy.
• Flexible workweek schedules to support a balanced life.