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Boston, Massachusetts, United States • Hybrid
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Lead the end-to-end development of AI/ML solutions and predictive models to improve claims handling efficiency. Provide technical mentorship to junior data scientists and communicate complex findings to both technical and non-technical stakeholders.
Requires a strong background in data science with proficiency in Python, SQL, and MLOps practices. Educational requirements vary from a Bachelor's with 5+ years of experience to a PhD with 2+ years of relevant experience.
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.
• Provide technical mentorship and guidance to junior data scientists.
• Responsible for larger components of projects of moderate to high complexity.
• Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders.
• Participate in cross-functional working groups and contribute to the broader data science community to promote best practices.
Preferred skills and experience:
• Broad conceptual understanding and practical knowledge of the end-to-end data science lifecycle.
• Exceptional hands-on data science technical skills (e.g. SQL, Python, and Statistical Inference).
• Experience collaborating with non-technical stakeholders to understand which problems need solving, design solutions, and bring them to market.
• Experience working with complex Type II data to assemble training datasets to appropriately model operational processes.
• Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow).
Additional skills and experiences that are nice to have:
• Knowledge of claims handling processes and experience working with claims data.
• Experience developing LLM-based solutions for production use cases.
• Practical experience with cloud platforms like AWS (preferably), Google Cloud, or Azure.
• Familiarity with data pipeline and workflow management tools like Airflow, among others.
s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelors degree (scientific field of study) and a minimum of 5+ years of relevant experience.Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
Pursue your tomorrow, today.
At Liberty Mutual, we believe progress happens when people feel secure. For more than 110 years we have helped people and businesses embrace today and confidently pursue tomorrow by providing protection for the unexpected and delivering it with care. A Fortune 100 company with more than 40,000 employees in 28 countries and economies, we are the ninth largest global property and casualty insurer and generate more than $50 billion in annual consolidated revenue. We operate through three strategic business units: US Retail Markets, providing auto, home, renters and other personal and small commercial lines property and casualty insurance to individuals and small businesses countrywide; Global Risk Solutions, delivering a full range of comprehensive commercial and specialty insurance, reinsurance and surety solutions to mid-size and large businesses worldwide; and Liberty Mutual Investments, deploying more than $100 billion of long-term capital globally across its integrated platform to drive economic growth, power innovation and secure Liberty Mutual’s promises. For more information, visit www.libertymutualinsurance.com.
Offices: 175 Berkeley Street, Boston, MA 02116, US · 7900 Windrose Ave, Plano, Texas 75024, US · Safeco Plaza, 1001 4th Avenue, #3800, Seattle, WA 98154, US · 14050 N 83rd Ave, 100, Peoria, Arizona 85381, US · 4229 W Lake Mary Blvd, 100, Lake Mary, Florida 32746, US
Based on 2169 listings with disclosed salaries, most finance & accounting jobs in Boston, MA pay between $72k–$200k per year. Individual offers vary with seniority, company size, and specialization.
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