Director of Data Science, Actuarial Modeling
The Hartford, Boston, NY, United States
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:**
Employee Benefits class plans in 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.**Qualifications:** 8+ years of relevant experience recommended Expertise in actuarial modeling; experience in Employee Benefits pricing is a plus. Experience with mentoring Data Scientists and providing guidance through model development
in the end-to-end modeling lifecycle, from requirements gathering to Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plusAble 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 #J-18808-Ljbffr
Employee Benefits class plans in 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.**Qualifications:** 8+ years of relevant experience recommended Expertise in actuarial modeling; experience in Employee Benefits pricing is a plus. Experience with mentoring Data Scientists and providing guidance through model development
in the end-to-end modeling lifecycle, from requirements gathering to Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plusAble 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 #J-18808-Ljbffr