Senior Data Scientist at Great American Insurance Group in Cincinnati, OH

Job description

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. 
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Great American Risk Solutions (GARS) is a growing wholesale excess & surplus (E&S) insurance business focused on complex and specialized commercial risks. As a dynamic and expanding business, GARS combines the entrepreneurial spirit of a growth-oriented organization with the stability and resources of Great American Insurance Group. 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 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. Essential Job Functions and Responsibilities Modeling and Analytics Leadership Applies advanced subject matter expertise to shape data science strategy and business potential for the organization. Works independently with limited supervision. Leads small to moderately complex projects from design through deployment and serves as a technical mentor to junior team members. Has a high level of understanding of the organization’s business and technology operations and a strong working knowledge of department policies and procedures. Leads the design, development, validation, and deployment of predictive models for underwriting, pricing, claims, and customer retention, from initial study design through production rollout. Analyzes large, complex, high-dimensional datasets, using structured and unstructured sources, to identify trends, patterns, risk factors, and opportunities that drive measurable business value. Creates models, simulations, and optimization routines, and selects the right technique for the business problem rather than the most complex one. Monitors and maintains the performance of models in production, including drift detection, retraining, and ongoing tracking and follow-up studies. Data, Automation, and Engineering Designs and implements data pipelines, automated reporting tools, and dashboards that track key business metrics and provide actionable insights. Partners with data engineers to ensure data quality, accessibility, and scalability, and defines data acquisition strategies that enable the capture and sharing of data and analytics across the organization. Identifies opportunities to apply artificial intelligence, machine learning, and automation to replace manual work for revenue-generating teams, and leads the delivery of those solutions. Business Partnership and Influence Partners with actuarial, underwriting, claims, and product teams to translate business problems and opportunities into technical requirements and data science specifications. Acts as a trusted advisor to business leaders, using data and analytics to shape decisions, and weighs the big picture and business impact in addition to model metrics. Communicates insights and recommendations to senior leadership through clear data storytelling and visualization. Provides input into GARS product roadmaps and takes an active role in agile planning and documentation for minimum viable products and long-term roadmaps. Governance and Innovation En