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. Join the Property & Specialty Product Design & Modeling department to develop industry-leading pricing and underwriting models. We pride ourselves in developing the best-in-class models and making the team an awesome place to work! The P&S PDM team turns DS insights into business value and partners closely with business stakeholders to expertly align risk with rate. Analyst roles within the team range from leaning more heavily into research to inform our product design, to directly interfacing with regulators and Profit & Loss owners. Our analysts make an impact by improving model fits, researching new modeling techniques, increasing the speed of model deployments, improving capabilities to test, calibrate, and monitor models, and serving as technical experts to explain our models to the broader Property & Specialty organization. With opportunities for growth, mentorship, and engagement with the data science community, we offer a stimulating environment for those with a passion for technical excellence and problem-solving. The Property & Specialty Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our Specialty products. The ideal candidate is proactive and intellectually curious, resilient, highly technical, and can efficiently think through complex business questions independently. P&C experience and an actuarial background is highly desirable. This role may have in-office requirements depending on candidate location 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. Leads the rollout of the latest Umbrella Rebuild pricing programs with key responsibilities including adjusting models due to state restrictions, building supporting documents and responding to DOI objections Builds, modifies and interprets GLM pricing models for personal lines Umbrella and other programs in Excel, Emblem, and/or Python packages Oversees and coordinates the projects for two contractors supporting Umbrella initiatives Collaborate with Delivery, Specialty Product, Program Management, IT, and other business partners to help implement new Umbrella models Evaluates and verifies the outputs and processes, promptly communicating any issues that may arise Communicates in written, oral, and presentation formats effectively Applies knowledge of sophisticated analytical techniques to manipulate structured and unstructured datasets for generating insights to inform business decisions Enables the business on potential outcomes and provide informative trade-offs among options Supports other property and specialty research projects that drive risk segmentation as necessary Regularly engages with the data science and/or actuarial community and participate in cross functional working groups", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505023533", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618504943946, "name": "Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Seattle, Washington, United States", "Columbus, Ohio, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1751295900, "t_create": 1749833100, "ats_job_id": "70727", "display_job_id": "2025-70727", "type": "ATS", "id_locale": "2025-70727-en", "job_description": "Build complex retention, conversion, and price elasticity models using various techniques including GLMs, machine learning, and causal inference techniques. Generate data-driven answers to open-ended strategic questions related to customer demand and present out on recommendations to leadership. Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. Responsible for large, sophisticated components of highly complex projects. Guide aspects of project design as a technical consultant for the team. Enable the business to evaluate trade-offs between and among choices, with a reasonable view into likely outcomes. Drive innovation in the application and development of tools and practices. Identify and test hypotheses, ensuring statistical significance, and build predictive models for business application. Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Customize analytic solutions to specific client needs. Regularly engage with the data science community and lead cross functional working groups. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. 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Act as a central point of accountability to ensure timely delivery and alignment with team priorities. Communications Enablement: Maintain key communications channels such as newsletters, scorecards, and internal sites (myLiberty). Manage a communication calendar and toolbox to drive alignment of portfolio messaging across the ED&DS team. Support executive communications preparation as needed, focusing on clear and timely messaging aligned to business needs. Community Engagement: Help build a vibrant and connected data community by coordinating and scaling events such as Town Halls, managing collaboration platforms like Teams, and executing upskilling initiatives. Continuously evaluate satisfaction and engagement drivers (through surveys, stakeholder feedback, adoption measures, etc.) to ensure our efforts deliver meaningful impact and strengthen community bonds. Principal Business Analyst I: $108,000 - $153,000. 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Champion the evolution and adoption of our Enterprise Data Governance Playbook, ensuring alignment with compliance, risk, and business objectives. Drive execution: Run governance like a program, with defined workstreams, clear ownership, and success measures. Influence and align: Provide structure and clarity in moments of ambiguity, and help end circular debates by driving decisions to closure. Facilitate Data Governance leadership discussions, build alignment on key data policies, standards, and decision-making frameworks, and clear roadblocks by bringing facts, decisions, and recommendations to the right senior leaders. Connect the dots: Actively identify where business units are solving similar problems and facilitate targeted peer connections--not more meetings, but real collaboration. Help us scale these connections by partnering with our training experts to elevate and drive adoption of our standards, platforms, and best practices. Communicate value: Ensure governance efforts are well understood, appropriately scoped, and connected to business impact. Explain the \"why\" behind governance requests, set expectations, and build enterprise-wide support by telling a compelling story. Director II, Data Management (STP) $160,500 - $226,000. 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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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Experience building ETL pipelines preferred. Experience building automation into data modeling and deployments. Experience working with financial data. Experience with insurance industry preferred. 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. 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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. 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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": 618503322305, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749497400, "t_create": 1743432660, "ats_job_id": "69494", "display_job_id": "2025-69494", "type": "ATS", "id_locale": "2025-69494-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}