Data Scientist - Specialty Equipment Services

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 Specialty Equipment Services division is looking for a Data Scientist to build a modern data intelligence team that improves decisions, strengthens client value, and increases operational efficiency. The data scientist role blends strategy and hands-on delivery: you will partner with leaders to define the right questions, map current data realities, and deliver analytics and AI solutions that help us tell our story and drive results for both our clients and Great American Insurance.

Specialty Equipment - 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 & Responsibilities

• Work closely with leadership team to identify key metrics and insights needed to support strategic goals and business objectives

• Develop and maintain financial models for large commercial clients and internal underwriting and leadership stakeholders

• Translate complex account structures, underwriting economics, and performance drivers into clear narratives and visuals; a storyteller mindset

• Perform gap analysis on current state, develop and recommend roadmap sequence of investments (projects, processes, technology enhancements) to achieve vision

• Drive innovation by exploring new tools, alternate data sources, modeling techniques to enhance business performance

• Lead development of an “insight” digital product for clients

• Guide training to promote data literacy skillsets for divisional employees

• Works closely with divisional leaders, shared services, and IT partners to ensure solutions are practical and adoptable

Job Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field (or equivalent experience)

• Generally, 3 or more years of experience translating business needs into analytics deliverables, measurables, and compelling narratives

• Strong analytical and problem-solving skills; ability to structure ambiguous problems and define success metrics

• Working knowledge of modern data practices (data sourcing, data quality, modeling, and governance concepts)

• Proficiency with analytical tools and languages appropriate for data science work (e.g., SQL and at least one modeling/scripting language) [confirm preferred stack]

• Ability to communicate clearly with both technical and non-technical stakeholders; strong presentation and writing skills.

• May require periodic travel to stakeholder sites or company locations (10% Travel)

Preferred Qualifications

• Experience in insurance, financial services, or risk-oriented businesses

• Experience building client-facing analytics or ‘insight’ products

• Familiarity with cloud data platforms and BI tools used in the organization (e.g., Snowflake, Tableau, Power BI)

• Experience piloting and operationalizing AI use cases in partnership with IT and business teams

Business Unit:

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.