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The Hartford seeks to enhance the organization's pricing sophistication and competitive advantage within the Homeowners line of business by building a high-performing analytics team and delivering smarter product pricing decisions.

Requirements

• Programming experience in Python required
• Additional knowledge and experience of MLOps (including model deployments and CI/CD) and cloud-based applications techniques are preferred
• Subject matter expertise in statistical modeling

Responsibilities

• Oversee, develop and mentor a highly productive team of data scientists to build, test, validate, and maintain robust solutions to business problems.
• 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.
• Manage team priorities and road maps utilizing an Agile framework

Other

• 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.
• Strong strategic thinking and exceptional analytical capability
• Strong verbal/written communication skills; Must be able to communicate effectively at all levels across the organization