Senior Data Scientist - Predictive Analytics at American Family Insurance Group

Cincinnati, Ohio, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

InsuranceIndustries

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
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 (inferred from description)

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

Skills

Key technologies and capabilities for this role

Predictive ModelingLLMTransformer ArchitecturesFine-tuningGenerative AIRAGData Analysis

Questions & Answers

Common questions about this position

Is this position remote or hybrid?

This position is located in the Cincinnati office and works on a hybrid schedule.

What are the key technical skills required for this Senior Data Scientist role?

The role requires expertise in analyzing large complex datasets, developing predictive models for underwriting pricing claims and customer retention, advanced LLM implementations including custom transformer architectures and fine-tuning, designing RAG and Agentic systems, Vision Language Models with OpenCV, and enterprise data pipelines.

What is the company culture like at Great American Insurance Group?

The company combines a 'small company' culture where ideas are heard with 'big company' expertise, values diverse backgrounds for business results, and fosters a highly collaborative team environment focused on intellectual growth, innovation, and AI technologies.

What salary or compensation is offered for this role?

This information is not specified in the job description.

What makes a strong candidate for this Senior Data Scientist position?

Strong candidates should have leadership experience in advanced AI including LLMs, predictive modeling, RAG systems, Vision AI, and data pipelines, plus the ability to mentor juniors, collaborate cross-functionally, and communicate to executives.