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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Assistant Director, Data Science: Claims & Service - **Company:** Liberty Mutual Insurance Company - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $120,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Airflow, Amazon Web Services, Microsoft Azure, Code Review, Github, Statistical Hypothesis Testing, Python (Programming Language), SQL Databases, Workflow Management Systems, Google Cloud, Large Language Models, Gitlab, Git, Semi-structured Data, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=573239f6043fbf85 ## About the Role 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., * Broad knowledge of predictive analytic techniques and statistical diagnostics of models. * Expert knowledge of predictive toolset; reflects as expert resource for tool development. * Demonstrated ability to exchange ideas and convey complex information clearly and concisely. * Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. * Ability to give effective training and presentations to peers, management and less senior business leaders. * Ability to use results of analysis to persuade team or department management to a particular course of action. * 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 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 5+ years of relevant experience. ## Description 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)