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Assistant Director, Data Science: Claims & Service
Liberty Mutual Insurance · Boston, MA · Brasil
Publicada em 17/07/2026
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Description At Liberty Mutual, the Insights & Solutions group uses data, analytics, and technology to deliver innovative solutions that drive our US Retail Markets business forward. Within it, the Claims Data Science team focuses on developing sophisticated AI/ML driven solutions to help create the most accurate, caring, and efficient claims organization in the insurance industry.Claims Data Science is bursting with opportunity. Recent advances in Large Language Models, Computer Vision, and other technologies bring many previously impracticable business challenges into the realm of possibility for data scientists. Claims Data Science can be a key competitive advantage for Liberty Mutual in the years to come; help us build that competitive advantage!Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. As an Assistant Director you will: • Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. • Lead end-to-end development of new predictive models for high-impact business outcomes (e.g., improving claims handling efficiency): frame and test hypotheses, design statistically rigorous experiments, assemble/label training data, engineer features, and train/validate models. • Build state-of-the-art ML systems that leverage structured data, unstructured text, and generative AI. • Select and implement appropriate algorithms and evaluation methods to deliver measurable accuracy and business value. • Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results. • Stay up-to-date with the latest advancements in data science and machine learning, and apply them to solving complex problems in the insurance claims domain. • Provid
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