Senior Data Scientist

Sr Data Scientist - GD07AE
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 S enior 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 .

As a S enior 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.

• Create statistical models , algorithms, and machine learning techniques to achieve financial objectives , solve business problems, and identify long term opportunities that improve the customer journey

• Collaborate and partner with business stakeholders in a way that supports and sustains a culture that treats analytics as a corporate asset

• 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 execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners

• Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage

• Contribute to successful implementation of strategies to achieve targeted business objectives

• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise

• Remain current on research techniques and become familiar with state-of-the-art tools in generative AI

• Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

• Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows

• 5 + years of relevant industry 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

• 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 environment s , such as Sage M aker, 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