Director of Data Science, Actuarial Modeling

Dir & Data Scientist - GD06BE

The Hartford seeks a Director & Data Scientist within Employee Benefits to develop statistical and machine learning solutions supporting actuarial pricing and reserving modeling. In this role, you will be a hands‑on technical expert contributing across the full model lifecycle—partnering closely with actuarial, business, and engineering stakeholders to understand business strategies and translate them into robust, scalable modeling solutions. You will design, develop, implement, and evolve advanced analytics and machine learning models using modern technologies, MLOps practices, and Agile delivery frameworks.

This cutting‑edge, forward‑focused organization offers the opportunity to work autonomously on high‑impact problems, influence technical and analytical decisions, collaborate deeply with cross‑functional partners, and gain strong visibility as we focus on continuous, value‑driven data and model delivery.

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).

• 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 the underlying data that 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.

• 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.
• Ability to communicate effectively with both technical and non‑technical teams.
• Ability 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.
• Candidates must be authorized to work in the US without company sponsorship.

The listed annualized base pay range is $138,000 - $207,000. 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.

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