Senior Data Scientist

The Hartford • Hartford, CT

2d • Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford’s Actuarial Strategic Modeling (ASM) organization is seeking a Senior Data Scientist to strengthen analytical and modeling capabilities supporting pricing, segmentation, underwriting strategies, and portfolio insights within Business insurance.

Requirements

• 5+ years experience developing statistical or ML models.
• Master’s/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or related field.
• Strong Python and SQL skills; experience with Git and cloud ML environments.
• Ability to collaborate across functions and communicate insights effectively.

Nice To Haves

• Insurance analytics experience.
• Familiarity with model governance and monitoring.
• Experience with Agile delivery or MLOps pipelines.
• Ability to mentor and support the development of Data Science and Actuarial peers.

Responsibilities

• Contribute and lead key phases of end-to-end model development including problem definition, data exploration, model development, validation, and monitoring.
• Engage in the development and enhancement of predictive models — while thoughtfully assessing alternative approaches and techniques to support loss, territory/Geography, and emerging claim level modeling needs.
• Partner with Data Engineering and MLOps teams to support deployment and monitoring.
• Partner with Actuarial, Underwriting, Product, Data Engineering, and Governance teams to align modeling work with business strategies.
• Communicate findings clearly to technical and non-technical audiences.
• Explore new modeling methods, data sources, and tools.
• Contribute to shared modeling frameworks and best practices.
• Provide peer learning, code reviews, and technical guidance.
• Support continuous improvement of modeling standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level