M

Mercury Insurance

Auto and home insurance via agents

Director R&D AI/ML Research

Applied Machine LearningPosted on Nov 5
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor’s degree in a quantitative field such as data science, engineering, mathematics, statistics, actuarial science, or a related discipline is required; a master’s or Ph.D. in a quantitative field is preferred.
  • At least 8 years of experience in predictive modeling, machine learning, advanced analytics, or related quantitative work is required.
  • At least 3 years of analytics experience in insurance or financial services is required.
  • At least 5 years of people leadership or comparable experience leading complex cross-functional programs is required, or an equivalent combination of education and experience.
  • Hands-on fluency in Python and modern machine-learning frameworks is required.
  • Demonstrated experience with generative AI and large language model applications, including AI harness or large language model evaluation skills or experience, is required.
  • A track record of building or operationalizing analytical tools, models, or workflows used by others at scale is required.
  • Strong business and technical judgment to connect research capability investments to product, pricing, and operational outcomes is required.
  • The ability to lead through influence and work comfortably with ambiguity is required.
  • Strong critical-thinking and problem-solving skills are required.
  • Curiosity and the ability to learn quickly are required.

Responsibilities

  • Lead the cross-line strategy for AI- and machine-learning-enabled research capabilities supporting product and pricing innovation across multiple lines of business.
  • Build and lead a small, high-leverage team focused on reusable research tooling, workflow modernization, automated model monitoring, and AI-enabled capability development.
  • Partner with Product R&D leaders to identify high-value opportunities to improve research speed, depth, consistency, and scalability, and carry out product research projects.
  • Work with Mercury Technology Solutions, Enterprise Data Science, and other partners to shape the technical environment for modern research, including data pipelines, feature workflows, model monitoring, and AI/ML infrastructure.
  • Design processes and guardrails for human oversight, model quality, explainability, and responsible use of AI-generated outputs.
  • Help establish a more automated and observable research workflow, including hypothesis generation, model evaluation, monitoring, and supporting documentation.
  • Guide adoption and change management across teams so new capabilities are used effectively and integrated into day-to-day work.
  • Stay current on relevant AI, machine learning, and research methodology developments and translate promising ideas into practical applications.
  • Coach and develop talent in a hybrid environment where people, automation, and AI agents work together to improve outcomes.

Desired Qualifications

  • At least 10 years of experience in predictive modeling, machine learning, advanced analytics, or related quantitative work.
  • At least 3 years of experience developing software or applications.
  • At least 5 years of analytics experience in property and casualty insurance.
  • At least 8 years of people leadership or comparable experience leading complex cross-functional programs.
  • A master’s or Ph.D. degree in a quantitative field.

About the Company

Mercury Insurance

Auto and home insurance via agents

Mercury Insurance provides auto, home, condo, renter, and business insurance through a network of local independent agents. Its products are selected with guidance from agents and include options like mechanical protection; pricing is based on multiple factors rather than a single rate. Mercury differentiates itself with an independent agency model coupled with factor-based pricing and a long-standing asset base, supporting growth across several states. Its goal is to help people reduce risk and overcome unexpected events by offering reliable coverage and timely assistance through its agent network.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Brea, CA
Founded
1962

Recently Posted Jobs

Explore more opportunities at Mercury Insurance

See more jobs