Samuel Warren is an accomplished data and analytics leader currently serving as the AVP of Data Science at Verisk. With a background in predictive analytics, they have created solutions that have processed over $2 billion in claims value. Previously, Samuel held roles such as Senior Data Scientist and Lead Data Scientist at Verisk, where they led teams in computer vision and machine learning, collaborated across business units, and provided mentorship. Additionally, they have experience as a Software Developer at Emergent Network Intelligence Ltd and served as a research assistant at Newcastle University, focusing on mathematics and statistics. Samuel earned a Bachelor of Science degree in Mathematics from Newcastle University.
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