Senior Applied AI & Data Scientist - Remote

Location: New Haven, CTPosted: Posted 1 week agoSalary: $150,000 - $170,000Recruiter: Rich Gold, Partner, SVP Accounting / Finance RecruiterAre you looking for a high-impact AI and Data Science role offering the opportunity to build cutting-edge AI solutions, drive innovation across a growing organization, and see your work make a meaningful difference? Would you enjoy combining advanced machine learning, generative AI, and agentic workflows with the opportunity to work on real-world business challenges in a mission-driven environment?A highly respected, purpose-driven financial services organization is seeking a Senior Applied AI & Data Scientist to help accelerate its AI capabilities across insurance, investments, membership, and charitable initiatives. This is an exciting opportunity for an experienced AI professional to take ownership of end-to-end solutions, from initial concept and model development through production deployment and measurable business impact.Why Consider This Opportunity?• High-impact AI role: Take ownership of innovative AI solutions that directly support business strategy and operational performance.

• Cutting-edge technology: Work with generative AI, LLMs, RAG, agentic workflows, advanced machine learning, and modern enterprise data platforms.
• End-to-end ownership: Drive solutions from initial concept and experimentation through deployment, evaluation, and continuous improvement.
• Meaningful mission: Apply your technical expertise to an organization focused on financial security, family, and charitable giving.
• Collaborative environment: Partner with business leaders, engineering teams, and AI professionals to bring new capabilities to life.
• Career development: Help shape enterprise AI standards and expand your influence across a growing AI and Data Science organization.What are people saying about this company?• “It’s great to work for an organization that genuinely cares about giving back. Knowing that $1.73 billion has been donated to charitable causes over the past 10 years makes you feel like you’re part of something bigger.”
• “There are plenty of opportunities to learn, grow, and develop your skills. The company supports professional development and gives you the opportunity to continue building your career.”
• “One of the best parts of working here is getting to apply cutting-edge technology to real business challenges that actually make a difference. You’re helping support millions of members and their families while working on exciting AI initiatives.”Title: Senior Applied AI & Data Scientist

Location: New Haven, CT (Hybrid) Salary: $140,000 – 165,000Key Responsibilities• Own the end-to-end development and delivery of AI solutions, from identifying business opportunities and exploratory analysis through production deployment and performance measurement.

• Design and develop innovative generative AI and LLM-powered analytics capabilities, including Deep Research solutions leveraging enterprise data through Retrieval Augmented Generation (RAG).
• Build intelligent agentic workflows and multi-step AI orchestration using tool integration, function calling, retrieval, and responsible AI guardrails to automate business processes.
• Develop advanced statistical and machine learning models supporting insurance, actuarial, claims, risk management, and investment decision-making.
• Engineer reusable AI capabilities, including feature pipelines, embeddings, vector search, semantic retrieval, and enterprise knowledge management strategies.
• Establish evaluation frameworks and success metrics to measure AI quality, accuracy, safety, performance, cost, and business impact.
• Partner with engineering teams to productionize AI solutions, implement CI/CD processes, establish monitoring and drift detection, and support ongoing model operations.
• Apply responsible AI principles throughout the development lifecycle, including fairness assessments, transparency, model documentation, and audit-ready governance.
• Collaborate with business stakeholders, executives, data analysts, engineers, and compliance teams to translate complex business challenges into practical AI solutions.
• Help establish enterprise-wide AI and machine learning best practices, reusable frameworks, development standards, and governance processes.Qualifications• 6+ years of experience delivering advanced analytics and machine learning solutions, including production deployment.
• 2+ years of hands-on experience developing and delivering enterprise generative AI and LLM solutions, including RAG, agentic workflows, evaluation, and guardrails.
• Strong Python and SQL programming skills, with experience using machine learning frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Hands-on experience with Snowflake, including Snowpark and/or Cortex, and relational databases such as PostgreSQL.
• Experience with vector search, embeddings, knowledge retrieval, vector databases, and hybrid search strategies.
• Experience partnering with software engineering teams to deploy production AI services, APIs, and data pipelines, with exposure to monitoring, CI/CD, and model lifecycle management.
• Ability to develop robust evaluation strategies for AI and LLM solutions and connect technical performance to measurable business outcomes.
• Strong communication skills and the ability to explain technical concepts, business value, risks, and tradeoffs to both technical and nontechnical stakeholders.Preferred Qualifications• Financial services experience, particularly within life insurance, annuities, investments, or other regulated industries.
• Familiarity with model governance, responsible AI frameworks, and enterprise risk management practices.
• Experience with legacy-to-cloud data modernization, including IBM DB2 extracts and integration platforms such as Talend.
• Familiarity with ML lifecycle tools such as MLflow, containerization technologies such as Docker, and API frameworks such as FastAPI or Flask.
• Experience developing reusable AI frameworks, production-ready solutions, and enterprise-scale machine learning capabilities.Employee BenefitsTime Away & Work-Life Balance• 13 paid holidays annually, in addition to vacation and paid sick leave.
• Flexible workweek schedules.
• Hybrid work environment.Professional Development• Certification and professional designation opportunities.
• Tuition reimbursement.
• Opportunities to expand technical expertise and grow professionally.Retirement Benefits• 401(k) retirement savings plan with employer matching contributions.
• Company-funded cash balance retirement plan.Health & Wellness• Multiple health insurance options, including family coverage.
• Health Savings Account with employer contributions.
• Company-paid short-term disability and term life insurance.
• Long-term disability insurance.
• Dental and vision insurance.
• Health club membership reimbursement.
• Employee Assistance Program.Additional Benefits• Up to 12 weeks of childbirth leave under the short-term disability policy.
• One week of fully paid parental leave for new parents, including adoptive and foster parents.