Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
About the role
- AVP leading Generative and Agentic AI solutions for Claims & Operations at The Hartford. Transforming customer journey by embedding AI capabilities to enhance outcomes and process.
Responsibilities
- Develop and oversee multiple teams to develop, test, and maintain robust Generative and Agentic AI solutions across claim and customer service operations
- Collaborate with business leaders and partners to understand their short and long-term goals, and develop, align and execute on the AI strategy and multi-year roadmap to meet those goals
- Promote agile and iterative development through cross-functional teams to provide appropriate solutions to meet the business problem
- Hire, lead and develop a team of asset owners, data engineers, data scientists and machine learning engineers
- Provide thought leadership through education, identification of AI opportunities and advance a data-driven culture
Requirements
- 10+ years of experience in Data Science, Analytic function or related field
- 5+ years insurance experience successfully leading teams
- 7+ years formal leadership responsibilities for a functional team(s)
- Degree in Machine Learning, Data Science, Computer Science, Software Engineering or other similar analytical field
- Subject matter expertise in Machine Learning techniques, prompt engineering, RAG, agentic frameworks, model evaluation, guardrail management, MLOps and model lifecycle management
- Strong understanding of responsible AI practices, model risk management, governance frameworks, regulations
- Proficiency with cloud platforms, preferably AWS or GCP, and their AI/ML ecosystems
- Exceptional verbal/written communication skills; Must be able to communicate effectively at all levels across the organization
- Ability to work autonomously, with a strong attention to detail and balance multiple priorities
- Innovative. Seeks new and creative ways to approach analytical exercises and development projects
Benefits
- Other rewards may include short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
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