Advanced Analytics & Research Specialist

Reposted 13 Days Ago
Be an Early Applicant
Cincinnati, OH, USA
In-Office
Senior level
Insurance
The Role
Prototype and evaluate emerging AI technologies (agents, RAG, LLMs) against business needs, build working proofs-of-concept, document results, enable self-service analytics, and partner with Enterprise Architecture to transition innovations to production.
Summary Generated by Built In

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

The AI Innovation Lab serves as the organization’s proving ground for emerging artificial intelligence technologies. This role focuses on applied AI research tied directly to real business needs, rather than academic research or traditional software development. The technologist evaluates, prototypes, and validates AI solutions, determining which technologies are ready for enterprise adoption and which are not. Successful proofs‑of‑concept are transitioned to IT delivery teams for production implementation.

This role is ideal for someone who thrives on variety, rapid learning, and experimentation, and who enjoys working at the intersection of advanced technology, business problem‑solving, and enterprise systems.

Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site a minimum of two days a week if local to Cincinnati, with the potential to work three days remotely. Core in‑office days are Tuesday and Thursday.

Essential Job Functions & Responsibilities

  • Evaluate emerging AI technologies (e.g., agent frameworks, RAG architectures, AI orchestration patterns) against business needs and enterprise constraints

  • Build rapid prototypes to demonstrate technical feasibility and business value

  • Document findings, including both successful and unsuccessful experiments, to guide enterprise AI direction

  • Partner with Enterprise Architecture to ensure alignment with API‑first and production‑ready design principles

  • Enable business‑side data science capabilities through self‑service tools and analytics environments

  • Implement and assess agent frameworks, Model Context Protocol (MCP) integrations, and AI workflows

  • Communicate complex technical concepts clearly to business stakeholders and executive audiences

  • Mentor team members and contribute to a culture of continuous learning and innovation

Job Qualifications

  • Bachelor’s degree in Computer Science, Statistics, or related fields. 3 or more years of demonstrated AI/ML expertise.

  • Strong Python programming skills and experience with ML frameworks (e.g., PyTorch, TensorFlow)

  • Proven ability to build working prototypes, not just theoretical models

  • Strong learning agility and objective evaluation skills for new technologies

  • Understanding of API design and enterprise system integration

  • Excellent written and verbal communication skills

  • Intellectual curiosity and comfort operating in ambiguous, evolving environments

Preferred Qualifications

  • Experience in insurance, financial services, or other regulated industries

  • Hands‑on experience with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)

  • Familiarity with Model Context Protocol (MCP) or similar integration standards

  • Experience with Microsoft Azure cloud services

  • Exposure to actuarial, underwriting, or claims workflows

  • Understanding of enterprise architecture and production constraints

  • Experience transitioning prototypes or research initiatives into production teams

  • Python, Java, Microsoft Azure, REST APIs, LLM APIs and gateways, vector databases, agent frameworks, Docker/Kubernetes, SQL and NoSQL databases. Tooling will evolve over time—adaptability is more important than expertise in any single platform.

Business Unit:

Property & Casualty IT Services

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

 

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

 

*Excludes seasonal employees and interns.

Skills Required

  • PhD in Computer Science, AI/ML, or related OR Master's degree with 7+ years hands-on AI/ML development OR Bachelor's degree with 10+ years and demonstrated expertise
  • Strong Python programming skills
  • Familiarity with ML frameworks (PyTorch, TensorFlow, or equivalent)
  • Experience building working prototypes (not just theoretical models)
  • Understanding of API design principles and enterprise integration
  • Strong written and verbal communication skills
  • Demonstrated ability to learn new technologies quickly and evaluate them objectively
  • Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, or similar)
  • Familiarity with Model Context Protocol (MCP) or similar AI integration standards
  • Experience with Microsoft Azure cloud services
  • Background in insurance, financial services, or other regulated industries
  • Experience transitioning prototypes or research projects to production and understanding enterprise architecture patterns

Great American Insurance Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Great American Insurance Group and has not been reviewed or approved by Great American Insurance Group.

  • Leave & Time Off Breadth PTO, paid holidays, and paid parental leave are positioned as generous from the first year. These time‑off provisions are seen as core strengths of the total package.
  • Healthcare Strength Health coverage includes comprehensive medical, dental, and vision options supported by HSA and FSA programs. Wellness resources such as EAP access, fitness facilities or reimbursements, and instructor‑led classes broaden the offering.
  • Retirement Support Immediate 401(k) eligibility with a competitive company match and potential discretionary retirement contributions support long‑term savings. An employee stock purchase option and various discounts further reinforce financial benefits.

Great American Insurance Group Insights

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The Company
HQ: Cincinnati, OH
4,738 Employees

What We Do

Based in Cincinnati, Ohio, the operations of Great American Insurance Group are engaged primarily in property and casualty insurance, focusing on specialty commercial products for businesses. We have more than 30 specialty property and casualty insurance businesses, and in 2021, approximately 50% of our gross written premium in our property and casualty operations was generated by business units with a Top 10 market ranking. Great American Insurance Company has received an "A"​ (Excellent) or higher rating from the AM Best Company for more than 110 years (most recent rating evaluation of "A+"​ (Superior) affirmed December 3, 2021). The members of Great American Insurance Group are subsidiaries of American Financial Group, Inc. (AFG), also based in Cincinnati, Ohio.

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