Senior Data Scientist, Tech Lead

- Design, develop, and thoroughly evaluate LLM-powered solutions, including prompt engineering, agent-based workflows, and retrieval-augmented generation (RAG) to achieve financial goals and enhance the customer journey - Collaborate with business stakeholders to uphold the vision and foster a culture that values analytics as a key corporate asset - Lead the deployment of machine learning and applied AI solutions, including traditional predictive models and generative AI implementations, in close cooperation with data science, engineering, and business partners - Assist in identifying and evaluating new data sources and analytical techniques to maintain a competitive edge - Contribute to the successful execution of strategies to meet targeted business objectives - Gain understanding of The Hartfords formal and informal structures, business processes, and data resources within your area of expertise - Stay informed about research methods and experiment with cutting-edge tools relevant to the teams function (e.g., new modeling approaches, LLM capabilities) - Provide economic, qualitative, and statistical support to guarantee model outputs and AI-driven recommendations are accurate, interpretable, and actionable for business decisions - Introduce and advocate best practices to steer our Data Science and Data Engineering workflows