Senior Data Scientist

Remote type: 100% Remote

Locations: Hartford, CT: Hartford CT- Home Office

Time type: Full time

Posted on: Posted Today

Job requisition id: R Sr Data Scientist - GD07AE

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.

What You Will Do

Model Development & Analytics

• 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.

Cross-Functional Collaboration

• 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.

Innovation & Modernization

• Explore new modeling methods, data sources, and tools.
• Contribute to shared modeling frameworks and best practices.

Technical Leadership & Mentorship

• Provide peer learning, code reviews, and technical guidance.
• Support continuous improvement of modeling standards.

Qualifications

Required

• 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.

Preferred

• 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.
• Engage in high-visibility enterprise modeling initiatives.
• Work with modern analytical tools, ML, and generative AI.
• Work at the intersection of Data Science and Actuarial Science, partnering closely with diverse technical and business teams.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,720 - $166,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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