Senior Data Scientist

The Hartford seeks a Senior Data Scientist Employee Benefits Data Science, AI, and Analytics (DSAIA) to develop machine learning solutions supporting actuarial pricing, underwriting, and reserving modeling.

The Employee Benefits DSAIA team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders.  The EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between.  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).As

a Senior Data Scientist in the Employee Benefits DSAIA team, you will participate in the entire solution lifecycle. You’ll partner with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest generative models, machine learning methods, MLOps deployment methods, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value.

This cutting-edge and forward-focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business value delivery.
** Responsibilities:
** Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
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* Qualifications:

** experience Proficiency in statistical modeling, inference, and building machine learning algorithms in Python Proficiency in SQL and navigating databases to extract relevant attributes Proficiency in Unix and Git Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation

Experience building modeling solutions in cloud-native environments, such as Sage Maker, a plus

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
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