Senior Data Scientist - Predictive Analytics

Great American Insurance Group • Cincinnati, OH

94d

About The Position

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! This position is located in our Cincinnati office and will work on a hybrid schedule.

Requirements

• 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.
• 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.

Nice To Haves

• 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 parameter-efficient methods.
• Expert-level RAG system design and Agentic RAG implementation.
• Experience with multi-agent systems and AI orchestration frameworks.
• Expert proficiency in OpenCV and advanced computer vision techniques.
• Leadership experience with Vision Language Models and multi-modal AI systems.
• Advanced image processing, object detection, and video analysis.
• Integration of vision, language, and reasoning capabilities.
• Expert Python programming with deep knowledge of AI/ML ecosystems.
• Advanced experience with PyTorch, TensorFlow, and HuggingFace transformers.
• Database optimization and advanced SQL techniques.
• MLOps and model lifecycle management.
• Advanced Microsoft Azure architecture and AI services.
• Expert-level Snowflake implementation including advanced Snowflake SQL and performance optimization.
• Enterprise model deployment and production optimization.
• Advanced data visualization and executive-level presentation skills.
• Deep understanding of insurance industry regulations and model governance.
• Proven leadership and mentoring abilities.
• Strategic thinking and AI roadmap development.
• Cross-functional collaboration and stakeholder management.

Responsibilities

• 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.

Benefits

• Competitive Total Rewards package including medical, dental, and vision plans starting on day one.
• PTO and paid holidays.
• Commuter benefits.
• Employee stock purchase plan.
• Education reimbursement.
• Paid parental leave/adoption assistance.
• 401(k) plan with company match.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree