Partner with your line of business's pricing, delivery, and technology teams to find 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 tests in production. Measure the value and risk of AI applications, including effort reduced, errors avoided, and time to market gained. Bring pricing expertise and product sense to AI projects, translating business needs into requirements and evaluation criteria. Prototype and build evaluation tooling and, over time, AI applications that accelerate rollout. Experience evaluating generative AI or agentic systems is a plus. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.