Job Title

Dir Data Science - GD06AE Weu2019re 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 u2013 and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford is seeking a Director of Data Science to lead the Workersu2019 Compensation Pricing Models within the Actuarial Strategic Modeling (ASM) department. This leadership role offers a unique opportunity to drive innovation in predictive modeling, machine learning, and actuarial analytics for our largest line of business, covering over $3B in annual premium.You will manage a high-performing team of data scientists and actuaries, collaborating with cross-functional partners in product, data engineering, underwriting and actuarial to deliver modeling solutions that directly impacts pricing, segmentation, and underwriting strategies. The ASM group is committed to advancing model workflows through scalable systems, and continuous model deliveryu2014and is searching for a leader to guide and shape this innovative direction. Responsibilities: + Lead WC Modeling: Serve as the model owner for Workersu2019 Compensation predictive models, ensuring alignment with pricing and business priorities. Partner on strategic vision while managing team capacity and driving timely model deliverables. + Model Development & Deployment: Lead design, maintenance, and deployment of predictive models for frequency, severity, and loss cost estimates, ensuring production readiness and effective integration into pricing workflows. + Cross-Functional Collaboration: Partner with Actuarial, Data Engineering, Underwriting, and Product teams to connect modeling initiatives with pricing strategies and organizational goals, promoting shared problem-solving. + Innovation: Drive modernization through advanced modeling techniques, machine learning, and AI to enhance efficiency and decision-making. Lead experimentation with new data sources, features, and methodologies to uncover insights and advance strategic objectives. + Operational Excellence: Ensure robust documentation, validation, and governance, along with scalable processes to monitor model performance and maintain reliability. + Talent Development: Mentor and develop team members, fostering a culture of curiosity, ownership, and continuous learning. Support hiring and onboarding, including intern and actuarial student rotations. + Strategic Influence: Participate in enterprise initiatives to ensure Workers' Compensation predictive models are efficiently integrated into core data and system platforms. Qualifications: + 8+ years of relevant analytical experience recommended. + Masteru2019s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or a relevant professional designation (e.g. FCAS, FSA, CSPA, ACAS, ASA)