As a Senior Data Scientist in the Actuarial Strategic Modeling team, you will lead the design and implementation of predictive models that shape critical business decisions in pricing, risk segmentation, and portfolio analysis. Your work will directly influence underwriting strategies and long-term planning for Business Insurance.
What You'll Do
You will drive end-to-end model development—from defining business problems to deploying and monitoring solutions. This includes exploring data, selecting modeling approaches, validating performance, and ensuring models align with strategic goals. You'll evaluate new techniques and data sources to improve accuracy in loss forecasting, geographic risk assessment, and claim-level predictions.
Collaboration is central to this role. You'll work closely with data engineers, MLOps, actuarial, and business teams to integrate models into production systems and governance frameworks. You’ll also communicate technical results clearly to both technical and non-technical stakeholders, ensuring insights inform decision-making across departments.
You’ll contribute to modeling standards, participate in code reviews, and support peer development through mentoring and knowledge sharing. Your efforts will help strengthen modeling practices and promote innovation across the analytics function.
Requirements
- Minimum of 5 years of experience building statistical or machine learning models
- Advanced degree in Statistics, Data Science, Applied Mathematics, Computer Science, Actuarial Science, or a related quantitative field
- Proficiency in Python and SQL, with hands-on experience in Git and cloud-based machine learning platforms
- Proven ability to work across technical and business functions and translate complex findings into actionable insights
Preferred Qualifications
- Background in insurance analytics or actuarial domains
- Understanding of model governance, validation, and monitoring processes
- Experience with Agile methodologies or MLOps pipelines
- Track record of mentoring data science or actuarial professionals
Technical Stack
The role leverages Python, SQL, Git, and cloud-based ML environments for scalable model development and deployment.
Benefits
This position offers involvement in high-impact enterprise modeling initiatives using modern tools in machine learning and generative AI. You’ll operate at the intersection of data science and actuarial science, working alongside diverse technical and business teams.
Compensation includes a competitive base salary range of $110,720 to $166,080, with additional components such as short-term or annual bonuses, long-term incentives, and on-the-spot recognition. A comprehensive benefits package covers health, paid time off, and other key offerings.
Work Mode
This is a hybrid role with office locations in Columbus, OH; Chicago, IL; Hartford, CT; and Charlotte, NC. Employees are expected to work in the office three days per week, typically Tuesday through Thursday.
Company Culture
The organization is focused on innovation in customer service, community engagement, and employee experience. Guided by employee-driven values, it emphasizes ethical action, continuous improvement, and equity in all aspects of its operations. The culture supports rising to challenges with integrity and purpose.
EEO Statement
This employer is committed to equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, veteran status, disability, or age.
