Director R&D AI/ML Research
$201,933–$280,462 year
RemoteUnited States
Job Summary
Lead cross-line strategy for AI/ML-enabled research capabilities supporting product and pricing innovation across multiple insurance lines. Build and lead a team focused on reusable research tooling, workflow modernization, automated model monitoring, and AI-enabled capability development. Partner with Product R&D, MTS, and EDS to shape the technical environment for data pipelines, feature workflows, and AI/ML infrastructure. Design processes for human oversight, model quality, and responsible AI use while guiding adoption of new capabilities across functions. Coach talent in a hybrid environment where people, automation, and AI agents collaborate to improve outcomes. Stay current on AI and ML developments to translate ideas into practical applications for Mercury.
Required Qualifications
- Bachelor's Degree in a quantitative field such as data science, engineering, math, statistics, actuarial science, or a related discipline
- 8+ years of experience in predictive modeling machine learning, advanced analytics, or related quantitative work
- 3+ years of experience in analytics in insurance or financial services
- 5+ years people leadership or comparable experience leading complex cross functional programs
- Or equivalent combination of education/experience
- Highly motivated and driven individual with excellent critical thinking and problem-solving skills
- Strong business and technical judgment, with the ability to connect research capability investments to product, pricing, and operational outcomes
- Strong hands-on fluency in Python and modern ML frameworks
- Demonstrated experience with GenAI/LLM applications, AI Harness / LLM Evaluation skills/experience
- Track record of building or operationalizing analytical tools, models, or workflows that are used by others at scale
- Demonstrated ability to lead through influence and comfort with ambiguity
- Demonstrated curiosity and quick learning ability
Desired Qualifications
- Master's or Ph.D. degree in a quantitative field
- 10+ years of experience in predictive modeling, machine learning, advanced analytics, or related quantitative work
- 3+ years of experience in developing software or application
- 5+ years of experience in analytics in P&C insurance
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