Experienced RAI Engineer building state of the art models to solve business challenges while focusing on responsible aspects such as AI model fairness, transparency, explainability, robustness, soundess, and privacy.
Locations (15)
Chicago, Illinois, United States
California, United States
Colorado, United States
Connecticut, United States
District of Columbia, United States
Illinois, United States
Show all 15 locations
Maine, United States
Maryland, United States
Massachusetts, United States
Minnesota, United States
New York, United States
New Jersey, United States
Compensation
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
Responsibilities
Developing and implementing AI models and solutions, focusing on ethical and responsible practices.
Detecting, evaluating and applying relevant RAI dimensions (bias, fairness, robustness explainability etc.) in AI systems; work on mitigating the identified risks.
Supporting client sales conversations and proposal preparation
Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.
Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
Lead global pricing strategy and rating engine development for Allianz Partners RSA products, driving profitable growth and innovation across worldwide markets.
Responsibilities
Define and own global pricing strategy for RSA products
Conduct technical competitor analysis and benchmark pricing tools
Collaborate with underwriting and portfolio teams to align pricing with commercial objectives
Lead design and evolution of RSA rating engines using WTW Radar, Emblem and other actuarial platforms
Apply advanced statistical and machine-learning techniques to frequency/severity modelling
Requirements
Degree in Actuarial Science, Statistics, Mathematics, Data Science, Economics, or related quantitative discipline
Actuarial qualification or progress toward one (FIA, FCAS, or equivalent)
