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Our data engineers write code that turns trillions of bits of information into structured data--data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future. This role may have in-office requirements depending on candidate location The Territory Modeling team in Complex Components is looking to hire a Data Scientist to help drive our mission of building best-in-class geographic risk segmentation models! Specifically, you'll conduct analyses & support modeling efforts on our internal & external geographic data using both traditional actuarial and cutting-edge data science techniques. Actuarial experience conducting analysis on insurance data, such as premium on-leveling, loss trending, loss development, etc. is highly preferred. Using SQL for wrangling structured data & curating analysis-ready data. Using Python for analyzing data, creating data visualizations, & conducting statistical analysis/modeling. Creating, testing, and deploying Generalized Linear Models (GLMs) used for predictive purposes, such as insurance pricing. Some experience/skills working with geographic data & GIS/spatial data science methods is great but not required. Achieved or currently pursuing Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. 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Design and fine-tune large language/vision models to glean valuable insights from different kinds of unstructured data. Develop and adopt the best-in-class MLOps best practices throughout the data science lifecycle Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Buildout in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders Research and develop NLP, CV and other AI/ML models including LLMs, VLMs and GenAI applications to improve risk selection and pricing. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for smaller components of projects of moderate-to-high complexity. Regularly engages with the data science community and participates in cross-functional working groups. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. 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Enable Solution Delivery Teams: Design a cohesive data architecture and robust data models that guarantee data quality, scalability, reliability, performance, and resilience. Develop conceptual and logical context diagrams alongside comprehensive narratives to illustrate the interactions of enterprise, domain, and segment platforms. Provide mentorship and education on data solution architecture to all stakeholders engaged in GRS data initiatives. Ensure solutions adhere to established enterprise patterns and address any needs for the evolution of these patterns. Collaborate with enterprise teams to evaluate new data technologies, frameworks, and tools, ensuring we stay current with industry trends. Bachelor's degree in computer science, Information Technology, or a related field; advanced degree preferred. 15+ years of experience in software development, with minimum 10 years in Insurance industry 8+ years of proven experience as a data architect or similar role, with a strong understanding of data architecture principles and best practices 5+ years of Snowflake implementation experience in a cloud environment Extensive experience with data modeling, data warehousing, and data integration technologies. Familiarity with data governance frameworks and data quality methodologies. Strong analytical and problem-solving abilities, with a proactive approach to addressing challenges. Strong collaboration and communication skills, with the ability to convey complex technical concepts to diverse stakeholders and drive aligned outcomes. 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Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Analyze, develop and execute data integration solutions, to manage the information lifecycle needs of an organization. Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices Builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Improve speed to market by focusing on current data needs as well as building out long-term strategic data solutions using AWS, Snowflake, SQL, Informatica, as well as other modern data technologies Provide successful deployment and provisioning of data solutions to production or other required environments. Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of professional data engineering experience Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms. Required - Experience integrating Guidewire systems creating Data warehousing solutions in Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. Extensive understanding of agile data engineering concepts and processes, such as CICD, pipelines, and iterative development and deployments Demonstrated experience delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake, IDMC ETL Requires critical thinking, data analysis, and data modeling experience Must be proficient in SQL and experience with Python and JavaScript Experience with ETL (Informatica PowerCenter/IDMC) and knowledge of variety of data platforms and ingestion patterns including eventing & streaming Demonstrate leadership and active pursuit of optimizing data, CI/CD process and tools, test frameworks & practices Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong leadership, communication, collaboration skills with a track record of taking solution ownership Thorough knowledge in the following areas: Personal Line P&C insurance, general IT concepts, strategies and methodologies, thorough knowledge of new data architecture principles and concepts, thorough understanding of layered systems architectures, extensive knowledge of business operations, strategies and objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504920181", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505369700, "name": "Analyst Advanced Analytics", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1751988660, "t_create": 1751554140, "ats_job_id": "71084", "display_job_id": "2025-71084", "type": "ATS", "id_locale": "2025-71084-en", "job_description": "Conduct analyses and provide recommendations to optimize the effectiveness of U.S. Retail Markets marketing spend. Execute monthly State Targeted Marketing (STM) and new business customer analyses, translating findings into actionable insights and recommendations. Participate in weekly and bi-weekly meetings to share key trends across Product, Distribution, and Marketing teams to support cross-department alignment. Support lifetime value models which predict the total value of a customer, partnering across USRM using the latest org science and trends. Manage both the identification and translation of emerging trends into actionable data to stakeholders across Marketing and Distribution. Improve efficiency of lifetime value processes, create new diagnostics including monitoring, and isolate drivers of changing customer value. Model inclusiveness by living our values and contribute to creating an inclusive culture. Bachelor's Degree plus 2-4 years of experience, or Master's Degree with no professional experience, or equivalent. Proficient in Excel, PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Knowledge of data sources, tools and common statistical principals. Understanding of intricacies of business supported is helpful. Understands how actions tie to systems capabilities and flow through to our financials/business drivers. Ability to learn how to build simple tools and queries for others to use.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505369700", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504572750, "name": "Director, Product Analysis", "location": "Chicago, Illinois, United States", "locations": ["Chicago, Illinois, United States", "Boston, Massachusetts, United States", "Los Angeles, California, United States", "Atlanta, Georgia, United States", "Dallas, Texas, United States"], "hot": 0, "department": "Underwriting", "business_unit": "3026-GRS-North America-US", "t_update": 1749497280, "t_create": 1747608180, "ats_job_id": "70296", "display_job_id": "2025-70296", "type": "ATS", "id_locale": "2025-70296-en", "job_description": "Responsibilities include: managing underwriting initiatives across Major Accounts, conducting complex analysis to evaluate and shape the portfolio, monitoring key performance metrics, preparing and presenting reports and other deliverables. Directly and/or indirectly leads work streams for projects involving the Major Accounts Office of Underwriting. Provides thoughtful recommendations that influence decisions, initiatives, and underwriting strategy Completes complex data gathering and analysis on drivers of performance and execution of underwriting strategies Facilitates and develops recommendations for portfolio shaping based on analysis and discussion with partners Creates and supports processes and tools to enable proactive portfolio management Establishes key performance metrics to monitor portfolio quality, volatility, price adequacy, terms, and business strategies, as well as execution against portfolio objectives Monitors and reports out on performance, deviations from plan, and insights and trends to cross-functional peers. Bachelor's degree in Business, Economics, or other quantitative field Minimum 6 years, typically 8 years or more of relevant work experience Master's degree beneficial Proficient in Excel, PowerPoint, and data analysis software (eg: SAS, Access) Portfolio experience in Underwriting, Actuarial or Finance preferred Must have good planning, organizational, analytical, decision making and communication skills Experience managing projects preferred Knowledge of Casualty products, pricing plans, underwriting rules and systems, and databases Knowledge in Property, in addition to Casualty, is a plus! Front-line transactional experience, in addition to portfolio experience, is a plus! Understanding of Insurance and Actuarial concepts and financial metrics preferred Objective and results-oriented with ability to deliver change in a complex insurance environment preferred", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504572750", "isPrivate": false, "latlongs": "41.8781136,-87.6297982"}, {"id": 618505230878, "name": "Manager II, Business Analysis - Auto Program Enhancements", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Analytics", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1752203100, "t_create": 1751050380, "ats_job_id": "71014", "display_job_id": "2025-71014", "type": "ATS", "id_locale": "2025-71014-en", "job_description": "Manages a team of product research analysts. Provides strategic and tactical direction on initiatives for product segments countrywide, both individually and through management of a small team of junior research analysts. Drives implementation of countrywide initiatives, including tailoring product strategy to meet unique state needs. Creates new implementation strategies individually and through influence. Consults on complex business issues and design considerations. Prioritizes among projects to deliver highest level of benefit to the organization and drives expense management. Leads high complexity and long-term projects and analysis. Sponsors projects with team members spanning multiple functional areas. Conducts high complexity analysis and answers advanced business questions. Analyzes trends and is responsible for tactical and strategic recommendations. Creates/leads formal training sessions and modules. Hires, develops, provides coaching to, and makes compensation recommendations for team members. Defines individual performance objectives and development plans, and ensures alignment with department, function, and SBU objectives. Fosters an environment in which continuous improvement methodologies are applied to deliver value to customers. Advanced knowledge of data sources, tools, software applications and business drivers. Advanced knowledge of business operations, policies, procedures, and priorities, to include a strong understanding of the function's value chain and market conditions. Demonstrated ability to exercise influence, engage employees; communicate effectively; promote collaboration, team work and change initiatives; and build value for customers through a service orientation, innovation, and continuous improvement. Displays solid business acumen and integrated thinking. Competencies typically acquired through a Bachelor's degree or equivalent experience. Advanced degree preferred. Minimum of 7 years of relevant experience to include business analysis work and prior experience working in an effective leadership capacity.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505230878", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618505396648, "name": "Actuary", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1752179400, "t_create": 1751912160, "ats_job_id": "71123", "display_job_id": "2025-71123", "type": "ATS", "id_locale": "2025-71123-en", "job_description": "Work closely with Majors underwriting management, developing cross segment portfolio solutions to support profitability and growth goals. Design and implement an enhanced Majors loss monitoring and analytics framework. Maintain and enhance supplemental Majors pricing tools. Drive continuous improvement of processes and methodology. Create new tools and processes to support quarterly profit reviews, product planning and strategy evaluations, including quantification of UW strategies. Partner closely with the Majors segment support teams to design and develop standardized tools and exhibits. Collaborate with Data Solutions and NA Data Office to bring new data solutions to the team, streamline/automate processes, and optimize dashboards. Partner with other actuarial teams to build upon portfolio segmentation (RAMP) framework, enhancing existing framework for Majors. Perform analyses to assist with business evaluation, decision making and strategy development. Provide clear and concise communication of technical work to underwriters, business stakeholders, and senior leadership. Proactively identify training opportunities; create & deliver content accordingly. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) or in Society of Actuaries (ASA/FSA) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. Ability to motivate and mentor peers and motivate and train subordinates. Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. 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