Director, Data Science; Personal Insurance- Homeowners

The Hartford•Hartford, CT

14h•Hybrid

About The Position

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 an energetic and passionate data science leader to build a high-performing, empathetic analytics team and deliver smarter product pricing decisions. This role will focus on the Homeowners line of business within the Personal Insurance Loss and Demand Modeling team. We support our product and pricing partners through the delivery of rigorously developed and tested solutions including modeling and implementation support. As a Director, you will play a significant role in partnering with business, technology, and data units to design and execute on strategic framework to enhance the organization’s pricing sophistication and competitive advantage. This role can have a Hybrid or Remote work schedule. Candidates who live near one of our PI HUB office locations (Hartford, CT. San Antonio, TX. Scottsdale, AZ. Charlotte, NC. Tampa, FL. Columbus, OH.) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.

Requirements

Master’s or Ph.D required, in Statistics, Data Science, Applied Mathematics, Actuarial Science, Quantitative Economics, AI Machine Learning, or other similar analytical fields
8+ years of relevant experience in Research Functions within the P&C insurance industry, other Financial Services or related fields. Standout candidates will have direct experience with pricing models.
3+ years directing a team, setting priorities and plans to meet business goals and objectives.
Experience managing technical personnel in project based environment.
Programming experience in Python required
Subject matter expertise in statistical modeling
Strong strategic thinking and exceptional analytical capability
Strong verbal/written communication skills; Must be able to communicate effectively at all levels across the organization
Requires sophisticated business acumen in order to successfully translate complex technical topics into business solutions and strategies
Demonstrated track record of executing change to core business processes through the innovative use of quantitative techniques
Advanced negotiating, influencing, and conflict resolution skills at all organizational levels
Drive and commitment to get the job done efficiently, thoroughly, and professionally.
Eye for innovation - seeks new and creative ways to approach analytical exercises and development projects.
Results-oriented: demonstrates a sense of urgency and accountability for business issues.
Customer focused: builds effective relationships with internal partners, including claims, actuarial, underwriting, operations, and information technology

Nice To Haves

Additional knowledge and experience of MLOps (including model deployments and CI/CD) and cloud-based applications techniques are preferred

Responsibilities

Oversee, develop and mentor a highly productive team of data scientists to build, test, validate, and maintain robust solutions to business problems.
Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
Identify long term opportunities to improve product pricing and maximize the predictive accuracy of our models.
Advance the department’s capabilities to continually evolve the practice of data science, with an ability to see the end-to-end solution.
Identify and assess the value of new data sources and analytical techniques to ensure ongoing competitive advantage.
Present complex analytics to decision-makers with an emphasis on business impact.
Apply statistical knowledge balanced with economic thinking and common sense in the development of models to drive profitable growth and make sound business decisions.
Collaborate with other leaders to provide timely feedback and development plans and opportunities for staff.
Manage team priorities and road maps utilizing an Agile framework

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