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The Hartford seeks a Director of Data Science within Actuarial Strategic Modeling to lead a multidisciplinary team of data scientists/actuaries responsible for designing and delivering powerful analytical insights for various strategic actuarial initiatives. These initiatives aim to provide a competitive advantage and drive profitable growth at The Hartford.

The overall Actuarial Strategic Modeling department is a cross-functional unit of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We use the latest technologies, modeling techniques, MLOps, 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 data delivery.

As a Director of Data Science, you will lead a team with varying levels of experience and partner with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. This role will help define and influence the Actuarial department’s approach to leveraging AI and machine learning to improve our processes.

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:

• Manage a team of data scientists and actuaries that provide flexible modeling support to the development, testing and validation of loss models across both Business and Personal Insurance.
• Lead the ideation, build and implementation of Artificial Intelligence use cases across the Actuarial organization.
• Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques.
• Create and oversee the team’s work on statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions.

• 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 successful conclusion.
• Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function.
• Participate in the talent management process for hiring, onboarding, training, and development of staff.
• Collaborate with your leader to provide timely feedback on development and opportunities for your team.
• Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflow

Qualifications:

• 8+ years of relevant analytical 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 (e.g. FCAS, FSA, CSPA)
• Expertise in statistical modeling, inference, and building machine learning algorithms in Python and/or R.
• Expertise in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation.
• Experience with managing Data Scientists and providing guidance through model development.
• Experience in SQL and navigating databases to extract relevant attributes.
• Experience in Unix, Git, Shiny and R Markdown is a plus.
• Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus.
• Able to communicate effectively with both technical and non-technical audiences.
• 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, including the use of Artificial Intelligence.

• 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 Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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