Director of Data Science, Actuarial Modeling

The Hartford

Director & Data Scientist developing advanced analytics and machine learning solutions for Employee Benefits. Leading modeling projects and partnering with cross-functional teams in insurance.

Posted 6/2/2026full-timeHartford • Connecticut, Illinois, North Carolina, Ohio • 🇺🇸 United StatesLead💰 $138,000 - $207,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQLUnix

About the role

Key responsibilities & impact

Develop, test, validate, and maintain a portfolio of rating models for the Employee Benefits class plans in Long-Term Disability, Short-Term Disability, and Life
Continuously partner with Actuarial and Data teams to monitor and manage the End-to-End lifecycle of the rating models and underlying data which feeds them
Lead cross-functional projects that include the creation of statistical models and machine learning techniques to achieve financial objectives, solve business problems, and identify long-term opportunities that enhance actuarial modeling.
Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.
Advance the department’s capabilities by creating and deploying long-term tools to continually evolve the practice of data science, with an ability to see the end-to-end solution.
Develop strategies to achieve targeted business objectives.
Implement these strategies and follow through to successful conclusion.
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function.
Participate in the talent management process for hiring, onboarding, training and development of staff.
Collaborate with your leader to provide timely feedback on development and opportunities for your team.
Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.

Requirements

What you’ll need

8+ years of relevant experience recommended
Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation
Expertise in actuarial modeling; experience in Employee Benefits pricing is a plus.
Experience with mentoring Data Scientists and providing guidance through model development
Expertise in statistical modeling, inference, and building machine learning algorithms in Python
Expertise in SQL and navigating databases to extract relevant attributes
Expertise in Unix and Git
Expertise in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

Benefits

Comp & perks

Other rewards may include short-term or annual bonuses
Long-term incentives
On-the-spot recognition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

actuarial modelingstatistical modelingmachine learning algorithmsPythonSQLUnixGitdata sciencedata engineeringcloud-native environments

Soft Skills

mentoringcommunicationcollaborationleadershipstrategic thinkingproblem-solvingfeedback provisiontalent managementproject executionchange management

Certifications

Master’s degreePh.D.professional designation in actuarial sciencedata science certificationquantitative economics certificationapplied mathematics certificationstatistics certificationactuarial certificationdata engineering certificationcloud computing certification