Were seeking a strategic and collaborative Data Science Group Leader to lead a combined group of data scientists and developers, which is focused on researching, building, and delivering beta and experimental capabilities that explore whats next in analytics, machine learning, and Generative AI. In this role, you will ensure alignment with our organization's vision and product direction.
As a manager, you will cultivate a culture of innovation and accountability, fostering a team that serves as both a creative proving ground for ideas and a reliable pipeline for transitioning validated capabilities into our core products.
You will lead two disciplines through team leaders and senior contributors:
Data Scientists, focused on advanced analytics, ML, and GenAI
Full-Stack Software Engineers responsible for rapidly turning ideas and models into usable, customer-facing lab applications
This role sits at the intersection of AI leadership, hands-on technical guidance, and product innovation, and is designed for a leader who can bridge research and engineering disciplines rather than replace strong specialists.
As a manager, you will cultivate a culture of innovation and accountability, fostering a team that serves as both a creative proving ground for ideas and a reliable pipeline for transitioning validated capabilities into our core products.
You will lead two disciplines through team leaders and senior contributors:
Data Scientists, focused on advanced analytics, ML, and GenAI
Full-Stack Software Engineers responsible for rapidly turning ideas and models into usable, customer-facing lab applications
This role sits at the intersection of AI leadership, hands-on technical guidance, and product innovation, and is designed for a leader who can bridge research and engineering disciplines rather than replace strong specialists.
Requirements:
A minimum of 5+ years in managerial capacity, successfully leading team leads and individual contributors.
At least 7+ years in the field of applied AI, data science, or machine learning roles, demonstrating a proven track record of delivering innovative solutions in predictive analytics and machine learning, with experience in designing and implementing modern Generative AI systems.
Advanced degree in Data Science, Statistics, Computer Science, or equivalent experience
A leader who excels at both building and leading teams, maintaining a strong connection to technical details while effectively navigating ambiguity and fast-paced environments.
Ability to translate business and product needs into practical and impactful AI lab initiatives.
Deep fluency in applied ML and Generative AI, with the ability to credibly engage in software architecture and system design discussions, guiding tradeoffs without needing to own every line of code
Proven experience delivering predictive analytics and ML solutions
Proven experience designing and delivering modern GenAI systems
Proven ability to leverage AI-assisted development practices, including AI coding assistants and agents, to accelerate research, prototyping, and software delivery
Advantages:
Experience in insurance, modeling, or regulated industries
Familiarity with modern AI platforms and ecosystems
External visibility through conference speaking, publications, or community contributions
A minimum of 5+ years in managerial capacity, successfully leading team leads and individual contributors.
At least 7+ years in the field of applied AI, data science, or machine learning roles, demonstrating a proven track record of delivering innovative solutions in predictive analytics and machine learning, with experience in designing and implementing modern Generative AI systems.
Advanced degree in Data Science, Statistics, Computer Science, or equivalent experience
A leader who excels at both building and leading teams, maintaining a strong connection to technical details while effectively navigating ambiguity and fast-paced environments.
Ability to translate business and product needs into practical and impactful AI lab initiatives.
Deep fluency in applied ML and Generative AI, with the ability to credibly engage in software architecture and system design discussions, guiding tradeoffs without needing to own every line of code
Proven experience delivering predictive analytics and ML solutions
Proven experience designing and delivering modern GenAI systems
Proven ability to leverage AI-assisted development practices, including AI coding assistants and agents, to accelerate research, prototyping, and software delivery
Advantages:
Experience in insurance, modeling, or regulated industries
Familiarity with modern AI platforms and ecosystems
External visibility through conference speaking, publications, or community contributions
This position is open to all candidates.
