Principal Data Scientist

Dir & Data Scientist - GD06BE

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.   

         

Are you ready to disrupt the future of insurance with the power of Artificial Intelligence and Generative AI? The candidate will join and help build a practice on par with leading AI research laboratories that focuses on practical AI use cases for The Hartford. We are looking for visionary technical leaders who can effectively nurture, challenge and inspire our teams, push boundaries enterprise-wide, and revolutionize how we underwrite, assess risk, process claims, and create standout customer experiences in the fast-changing world of AI! 
 

This role requires an innovative, execution-focused Data Science leader with a deep scientific and implementation-focused understanding of the latest AI technologies, use cases, data engineering practices, and the ability to work with cross-functional teams across an enterprise. In this pivotal role, you will support the establishment of a world-class, leading-edge AI applied research team that leads in AI innovation and supports scaling and productization of the solutions with built in scalability, security, and self-service features.

The ideal candidate will have a deep AI research background and a proven track record integrating the latest AI capabilities and deliver solutions related to real-time data streaming, complex agentic frameworks, Data APIs, and graph knowledge bases, etc.

This role can have a Hybrid or Remote work arrangement.  Candidates who live near one of our office locations 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. Must be eligible to work in the US without company sponsorship.

Responsibilities:

• Support The Hartford’s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
• Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
• Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
• A leader with strong architecture skills – who can conceptualize what needs to be built and then drive/contribute to the actual build.
• Lead end-to-end AI projects from problem formulation to model deployment, integrated into a broader portfolio of advanced analytics.
• Drive the development of state-of-the-art AI/ML models with a focus on, AI, GenAI, Agent architecture-based chat solutions, Automated scenario simulation and model optimization.
• Develop LLM models and data-driven solutions to optimize business processes, improve process transparency and drive data-driven decision making.
• Design and conduct experiments, tests, and causal inference analysis to evaluate the effectiveness of interventions and initiatives.
• Champion the integration of AI solutions within The Hartford’s AI platform to maximize reuse, scalability, and governance.
• Closely work with cross-functional teams to define, prioritize, and implement features, infrastructure, processes, and workflows.
• Stay up to date with the latest developments in AI, Large Language Models, Machine Learning, and related fields. Evaluate emerging technologies for potential adoption.
• Support development of a high-performing enterprise AI team, fostering individual growth and technical excellence. Provide strategic AI leadership, influence stakeholders across the organization, and drive transformative AI initiatives that enhance decision-making, automation, and business impact.
• Provide training and mentoring to team members on AI & GenAI technologies, agentic workflows, and implementation strategies. Share knowledge and best practices to foster a culture of innovation and continuous improvement.

Qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field is preferred with 4+ years of professional experience in AI with strong foundation in Machine Learning. Masters or Bachelors in Computer Science or related areas with 12+ years of industry experience would also be considered. 
• Ability to execute on a vision for AI initia