Data Scientist (Denver)

About MGT Insurance

MGT is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for the brokers and small business owners. By combining the expertise of industry veterans with state-of-the-art technology, we are ushering in the next evolution of commercial insurance and working to move the industry forward through the use of modern technology, better processes, and a rock-star team. We seek visionary leaders who thrive in dynamic, entrepreneurial settings, and excel in autonomous roles.

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking a Principal Data Scientist with deep expertise in machine learning, predictive analytics , and modern data platforms to lead our data science initiatives and drive intelligent decision-making across our organization.

Position Overview As a Principal Data Scientist , you will be responsible for designing, implementing, and optimizing predictive modeling solutions that power our insurance platform while leading strategic data science initiatives. You will collaborate closely with business stakeholders to identify opportunities where data and technology can drive impact and innovation, combining hands-on modeling expertise with technical leadership to build data-driven platforms that optimize risk assessment, pricing, and customer experience.

Key Responsibilities

• Predictive Model Development : Design and deploy predictive models for sales / services automation and comprehensive risk assessments using Python, R, and modern ML frameworks .
• Analytics Strategy & Implementation : Define and oversee data science best practices, ensuring robust model development and deployment across all business functions.
• Performance Optimization : Ensure high accuracy, efficiency, and interpretability for all models and analytics solutions.
• Underwriting Leadership : Share underwriting responsibilities with insurance product teams and underwriting specialists, applying data science expertise to risk evaluation processes.
• Book Management Support : Provide analytical support for overall book management, ensuring portfolio optimization and performance monitoring.
• Technical Leadership : Lead the development and architecture of machine learning models and analytics pipelines to ensure scalability, accuracy, and reliability.
• Cross-Functional Collaboration : Work closely with actuaries, underwriters, product managers, and stakeholders to translate complex modeling concepts into tangible business outcomes.

Qualifications

Preferred Location Candidates based in Madison, Wisconsin , are preferred to facilitate close collaboration with our team.

Who We Are

What We Offer