We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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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 Data Science Infrastructure organization within USRM is hiring a Data Scientist Analyst for its Data Science Tools team. The Data Scientist role will sit within the Data Science Tools team of Infrastructure and be tasked with reengineering the way USRM Data Science approaches the entire modeling pipeline. Their primary goal will be to architect and construct modeling tools and pipelines to massively enhance the ease of iteration, evaluation, and deployment of models and thereby enhance the productivity of the entire USRM Data Science department by orders of magnitude. The objective of this role is to build tools and processes to empower other people. The ideal candidate is proactive, highly technical, and most importantly, driven by a desire to help others and push the boundaries of what we think is possible. 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. Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree. 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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. 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Performs other projects and duties as assigned Use advanced technical skills (e.g., Python, SQL, other relevant tools) to automate, maintain, and enhance complex data processes that support GRS reserving. You will be responsible for handling large datasets used in the reserving process and the related analytics. Bachelor`s degree in technical or business discipline or equivalent experience Generally, 1+ years of professional experience General knowledge in new and emerging technologies Negotiation skills; oral and written communication skills General knowledge of the following: IT concepts, strategies and methodologies IT architectures and technical standards General knowledge of a business function(s) and business operations Design and development tools General knowledge of layered systems architectures General understanding of shared data engineering concepts General knowledge of architectures and technical standards General knowledge of agile data engineering concepts and processes Must be proactive, demonstrate initiative and be a logical thinker Consultative skills, including the ability to understand and assist in applying customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements Collaboration, prioritization, and adaptability skills required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505651966", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618505651929, "name": "Senior Data Engineer", "location": "Indianapolis, Indiana, United States", "locations": ["Indianapolis, Indiana, United States", "Plano, Texas, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1753802700, "t_create": 1753114620, "ats_job_id": "71344", "display_job_id": "2025-71344", "type": "ATS", "id_locale": "2025-71344-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505651929", "isPrivate": false, "latlongs": "39.768403,-86.158068"}, {"id": 618505578285, "name": "Senior Analyst, Product Research", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Product Management", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1753893660, "t_create": 1752697500, "ats_job_id": "71297", "display_job_id": "2025-71297", "type": "ATS", "id_locale": "2025-71297-en", "job_description": "Support and maintain SAS environment pricing tools (such as NGRT, Base Rate Calculators, and configuration files) to ensure accurate pricing and successful rating program rollouts. Collaborate with cross-functional teams--including Product Modeling, Product Delivery, Pricing Tools, and Data teams--to gather requirements, analyze tooling needs, and define the scope for new pricing solutions in the Earnix environment. Support the development and implementation of scripts, tools, and processes for Earnix across various rating programs, states, and lines of business, including pricing and underwriting program builds. Analyze and address procedural and technical challenges, proposing and implementing tool improvements in coordination with team members and management. Contribute innovative ideas to advance methodologies, tools, and best practices, supporting data-driven decision-making for the business. Bachelor's degree in mathematics, economics, statistics, or other quantitative field. Minimum 3 years relevant work experience, typically 4 years. Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). 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Develop and maintain detailed program plans, manage execution, and escalate risks to meet strategic business objectives and customer needs. Implement strong governance and communication frameworks to promote transparency and stakeholder engagement across all levels of the organization. Proactively identify risks, manage dependencies, and facilitate timely resolution of issues to keep the program on track in a fast-paced, large enterprise environment. Drive accountability and ownership among cross-functional teams, ensuring delivery of high-quality outcomes. Provide clear, concise, and timely status reporting and presentations to senior leadership and key stakeholders. Demonstrate the ability to navigate and influence within a complex organizational matrix to maintain program momentum. Bachelor's degree in Business, Technology, or a related discipline; advanced degree or PMP certification preferred. Proven success managing large-scale, multi-year technical programs involving cross-functional teams including data science, actuarial, business, and technology professionals. Exceptional project management and organizational skills with the ability to clearly articulate and break down complex initiatives into actionable deliverables. Strong influencing and leadership skills as an individual contributor, capable of driving accountability without direct supervisory authority. Excellent communication skills with the ability to engage and align diverse stakeholders, including senior executives. Ability to maintain composure and focus in a dynamic, matrixed organization while effectively managing competing priorities. Prior experience working in or closely with Property and Specialty insurance products or programs is a plus. Master's degree or equivalent in mathematics, economics, statistics, or other quantitative field Minimum 7 years relevant work experience, typically 10 years Expert skills in Excel, PowerPoint, and project management software such as Jira Must have exceptional planning, analytical, decision-making, communication, and project management skills Experience managing or leading others beneficial", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505733614", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505602409, "name": "Consultant, Product Analysis - Personal Lines Property & Specialty", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Product Management", "business_unit": "3044-USRM-PL Property & Specialty Product-US", "t_update": 1753902960, "t_create": 1752845820, "ats_job_id": "71325", "display_job_id": "2025-71325", "type": "ATS", "id_locale": "2025-71325-en", "job_description": "Description This is a ranged posting. Position offered will be at manager discretion based on skills and experience. This role may have in-office requirements based on candidate location. Seated within the Property & Specialty line of business, the Delivery Monitoring team is a high-visibility and growing team looking for a Senior Analyst or Consultant. This unique role offers the opportunity to be a direct and key contributor to profit and growth goals and help shape current and future pricing programs including our nester homeowners program. You will be responsible for defining key metrics, analyzing & visualizing new product results, identifying key trends, maintaining communication & relationships with stakeholders across the organization, and informing future product rollouts. As subject matter expert, your analysis and recommendations have a direct impact on business and are shared with leadership. In this role you can expect to: Analyze high complexity business problems, including querying data with limited direction Influence action based on results and recommendation Identify trends and issues in assigned states or product line. Become empowered to share opinions, independently own projects, and make the team better Presents state reviews, other analyses and results of country wide initiatives to Product managers. The ideal candidate will: Have an analytical aptitude with the ability to execute complex analysis, proactively identify trends, and make recommendations Have technical skills in data analysis and visualization tools such as data analysis software (ex. SAS or SQL), PowerBI, and Excel Demonstrate a natural curiosity and independent problem solving Intermediate knowledge of insurance products Exhibit project management, collaboration, and communication skills Be proactive, curious, autonomous and willing to influence others Qualifications Bachelor's degree in business, information management, economics, or other quantitative field. Master's degree preferred. Minimum 4 years, typically 6 years or more of relevant work experience. Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills. Highly developed communication and presentation skills. In-depth knowledge of data concepts, strategies, and methodologies. In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives. Highly developed negotiation, facilitation and consensus building skills. About Us 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. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. 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://LMI.co/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. 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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": 618505757957, "name": "Assistant Director, Fraud Hub Advanced Analytics", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "3006-USRM-Finance-US", "t_update": 1753815120, "t_create": 1753457580, "ats_job_id": "71461", "display_job_id": "2025-71461", "type": "ATS", "id_locale": "2025-71461-en", "job_description": "Dedicate 70% of your 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