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Director, Data Science - Rollout acceleration AI

Liberty Mutual · Boston, MA, US

hybridunknownPosted Oct 26, 2024PythonLLMsRAGstatisticsexperimental design

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About this role

## Director, Data Science - Rollout acceleration AI **About the role** AI has the potential to transform how insurers bring new products to market—and this team is focused on making sure it does. US Data Science (USDS) is building a new team that will use advanced AI to bring pricing programs to market faster. We’re hiring three senior data scientists to help launch it. This is a highly visible team building **state-of-the-art evaluations for AI and agentic systems**. These evaluations help determine: - How much value the AI delivers - How accurate it is - What risk exists when it gets something wrong Each role reports into the **Rollout AI team in USDS** and has a dotted-line relationship with one line of business: **Property & Specialty, Auto, or Small Commercial**. You’ll be the data science partner for your line of business while collaborating closely with the other two roles. **Level**: Assistant Director or Director I (based on experience/skills). **Level of position offered will be based on skills and experience at manager discretion.** **Work location** - Hybrid (2 days/week in office) for candidates living within **50 miles** of **Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX** - Otherwise **remote** with occasional travel --- ## Responsibilities - Partner with your line of business’s **pricing, delivery, and technology** teams to identify where AI can speed up pricing program rollout - Build **state-of-the-art evaluations** for AI and agentic applications - Define **accuracy metrics and ground truth**, generate statistical tests and edge cases, and design experiments (including production tests) - Measure **value and risk** of AI applications (effort reduced, errors avoided, time-to-market gained) - Bring **pricing expertise and product sense** to AI projects—translate business needs into requirements and evaluation criteria - Prototype and build **evaluation tooling**, and over time, AI applications that accelerate rollout --- ## Ideal candidate - Hands-on experience building and deploying **insurance pricing models** - Strong expertise in **model evaluation, statistics, and experimental design** - Strong coding skills (e.g., **Python**) and a track record of building and shipping data science solutions - Strong, recent hands-on experience with **modern LLMs**, including agentic coding, integrating LLMs into applications, and/or **RAG** - Experience evaluating **generative AI or agentic systems** is a plus - Strong communication and stakeholder skills across business, delivery, and technology teams - Resilient, curious, service-oriented, and committed to high standards --- ## Qualifications - Broad knowledge of predictive analytics techniques and statistical diagnostics - Advanced knowledge of predictive toolsets (expert resource for tool development) - Ability to exchange ideas and convey complex information clearly and concisely - Ability to build relationships inside and outside the organization - Ability to train and present effectively to management and other groups - Ability to use analysis results to influence decisions - Broad knowledge of business drivers and market context - Value-driven perspective regarding work context and impact **Education/experience (typical)** - Ph.D. (Statistics, Mathematics, Economics, Actuarial Science, or related) + **3+ years** relevant experience, **or** - Master’s (scientific field) + **6+ years** relevant experience, **or** - Bachelor’s (scientific fi

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