Start Date
Immediate
Expiry Date
24 Jul, 25
Salary
207000.0
Posted On
12 May, 25
Experience
4 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Data Analytics, Python, Kubernetes, Java, Programming Languages, Data Manipulation, Docker, Artificial Intelligence, Data Science, Cloud, Computer Science, Machine Learning
Industry
Information Technology/IT
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.
QUALIFICATIONS: