Director of Data Science, Actuarial Modeling
Job in
Hartford, Hartford County, Connecticut, 06132, USA
Listed on 2026-06-05
Listing for:
The Hartford
Part Time
position Listed on 2026-06-05
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
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 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).
** Responsibilities:*
* + Develop, test,validate, andmaintainaportfolioof rating modelsfor the Employee Benefits class plans inLong-Term Disability, Short-Term Disability, and Life
+ Continuously partner with Actuarial and Data teams tomonitorand 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, andidentifylong-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 successfulconclusion.
+ Remain current on research techniques and become familiar withstate-of-the-arttools applicable to your function.
+ Participate in the talent management process for hiring, onboarding,training and development of staff.
+ Collaborate with your leader to providetimelyfeedback on development and opportunities for your team.
+ Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.
*
* Qualifications:
*
* + 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
+ Expertiseinactuarialmodeling;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 tomonitoringand 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
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.
** Candidate 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…
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