Senior Data Scientist - Predictive Analytics

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.

Join our Predictive Analytics team within the Business Data & Analytics department! Opportunity to work within a highly collaborative team of data professionals focused on solving critical business challenges in the insurance industry. The role emphasizes intellectual growth, innovation, and the practical application of cutting‑edge AI technologies to drive business value.

Great American Insurance Group is committed to fostering professional growth through exposure to emerging technologies, cross‑functional collaboration, and opportunities to contribute to strategic AI initiatives that shape the future of the insurance industry.

This position is located in our Cincinnati office and will work on a hybrid schedule. Employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday‑Thursday, with the fourth day determined by business needs.

• Leads the analysis of large, complex datasets to identify advanced trends, patterns, and strategic opportunities
• Architects and leads the design, development, and deployment of sophisticated predictive models for underwriting, pricing, claims, and customer retention
• Serves as technical lead for advanced LLM implementations, including custom transformer architectures, advanced fine‑tuning strategies, and novel generative AI applications
• Designs and implements complex RAG and Agentic systems with multi‑modal capabilities and advanced reasoning
• Designs and develops evaluation pipelines to assess the quality and effectiveness of Generative AI outputs
• Leads Vision Language Model initiatives and advanced computer vision projects using OpenCV and cutting‑edge Vision AI technologies
• Mentors junior data scientists and provides technical guidance on complex modeling projects
• Drives innovation by exploring new data sources, advanced modeling techniques, and emerging AI technologies
• Collaborates with senior leadership and cross‑functional teams to translate complex business challenges into scalable AI solutions
• Designs and implements enterprise‑level data pipelines and automated reporting tools
• Establishes model governance frameworks and ensures compliance with regulatory requirements
• Communicates complex technical concepts and strategic recommendations to C‑level executives through compelling presentations
• Monitors and optimizes model performance across the enterprise and ensures data quality at scale
• May have responsibility for performance coaching of staff and participatory role in talent selection and development
• Drives AI strategy and roadmap development for the Predictive Analysis team
• Performs other duties as assigned

• Education:
  
  Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Statistics, or related quantitative field required. Master’s or PhD in related field strongly preferred.
• Experience:
  
  5‑6 years of progressive experience in data science and machine learning, with at least 2 years leading complex AI/ML projects and mentoring junior team members.

• Advanced Generative AI & LLM Leadership
  • Expert‑level knowledge of Large Language Models and generative AI architectures
  • Advanced experience with transformer models, attention mechanisms, and custom model development
  • Proven track record in BERT, GPT, and other foundation model implementations
  • Advanced fine‑tuning techniques including LoRA, QLoRA, and…