Lead the development and implementation of data-driven models and algorithms to enhance the underwriting process.
Use AI to process unstructured medical data and incorporate it into our models.
Automate processes using LLMs and agentic frameworks.
Collaborate with cross-functional teams, including underwriting, actuarial, and technology, to identify opportunities for process improvement and innovation.
Analyze large and complex datasets to extract actionable insights and support decision-making.
Stay up-to-date with industry trends and advancements in data science and machine learning.
Mentor and guide junior data scientists and analysts.
Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
Requirements
Bachelor's, Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field
8 + years experience working in Technology with focus on Data Science initiatives
Strong proficiency in programming languages such as Python and SQL.
Experience using LLMs to build agentic workflows
Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn).
Excellent analytical and problem-solving skills.
Strong communication and presentation skills.
Ability to work collaboratively in a team environment.
Benefits
Your Benefits Start Day 1
Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
Paid Parental Leave as well as an Adoption Assistance Program
Competitive 401k savings plan with company match and an additional contribution regardless of participation
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