Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Role Overview

• Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making.
• Work closely with cross-functional teams—including software engineers, data analysts, and product leaders—to implement business solutions.
• Lead discussions, present findings, and make recommendations to colleagues and management.
• Establish and oversee monitoring procedures, review results, and identify further optimization opportunities.
• Collaborate with departments such as Underwriting, Claims, Marketing, and Advertising to understand processes and identify areas for improvement.
• Provide analytical support and facilitate solution implementation through business or IT processes.
• Research and integrate new data sources and infrastructure, developing documentation and standards for easy business access.
• Create and optimize data repositories, reports, dashboards, and automated procedures to enhance efficiency and reduce costs.
• Respond to ad hoc analytical requests and ensure data accuracy.
• Leads a small team of data scientists (1–3), providing technical expertise and mentoring.
• Oversees development and application of algorithms/models to key business metrics, with the goal of improving operations or answering business questions.
• Identifies projects or initiatives within their area that could benefit from quantitative review.
• Runs day-to-day execution, code/design reviews, and onboarding for new team members.
• Collaborates with the Manager on staffing, performance feedback, and strategic priorities.
• Other functions may be assigned.

Requirements

• Worker characteristics are normally acquired through the successful completion of a Bachelor's degree in math, statistics, computer science or other related areas.
• Master's Degree (or ACAS/FCAS) preferred.
• At least 5 years of experience in data mining and data/statistical analysis.
• At least 5 years experience with SQL and statistical software packages (Python, R, SAS) required.
• At least 5 years experience working as a data scientist or similar role, with proven track record in data processing, predictive modeling, and machine learning techniques
• At least 1 year experience in P&C insurance
• At least 1 year experience leading projects in group settings and mentoring peers/interns
• Demonstrated solid skills in data mining, machine learning, programming and optimization.
• Knowledge with cloud-based advanced data and analytics environment.
• Passion for problem-solving, comfort with ambiguity.
• Ability to think conceptually, analytically and creatively.
• Knowledge of working with AWS, GitHub or other cloud-based infrastructure.
• Solid experience using R, Python and other programing languages.
• Strong data skills and the ability to work with large structured and unstructured data sources.
• Solid experience in predictive modeling, general model building, and validation procedures.
• Solid experience in text mining or other text analytics techniques.
• Excellent problem-solving skills required.
• Excellent analytical and critical thinking required.
• Excellent written and verbal communication skills required.

Tech Stack

• AWS
• Cloud
• Python
• SQL

Benefits

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
• Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
• Medical, dental, vision, life, and pet insurance
• 401 (k) retirement savings plan with company match
• Engaging work environment
• Promotional opportunities
• Education assistance
• Professional and personal development opportunities
• Company recognition program
• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more