The Hartford seeks a Director of Data Science to lead a team of Data Scientists and develop machine learning solutions supporting actuarial pricing and reserving modeling within Employee Benefits
Requirements
Expertise in actuarial modeling; experience in Employee Benefits pricing is a plus
Experience with managing 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
Responsibilities
Manage a team of Data Scientists to 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 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, and identify long-term opportunities that enhance actuarial modeling
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
Other
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
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
Candidate must be authorized to work in the US without company sponsorship
