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 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. 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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. 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Design and implement modeling tools and pipelines to massively enhance the ease of iteration, evaluation, and deployment of models Develop strategies and roadmaps for how to push USRM Data Science expert teams to achieve dramatically improved processes Build and maintain Python packages for use across the organization Utilize pipelining tools such as Luigi, Airflow etc., modeling packages such as MLflow, h2o, sklearn, optuna, LightGBM etc, and Liberty Cloud offerings of Cortex and Runway Follow Data Science and MLOps best practices in collaboration with Enterprise Data & Data Science Keep up to date with the state-of-the-art developments in Data Science open-source frameworks and MLOps", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505358011", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618505403138, "name": "Senior Data Scientist- Global Products", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1751921940, "t_create": 1751921940, "ats_job_id": "71129", "display_job_id": "2025-71129", "type": "ATS", "id_locale": "2025-71129-en", "job_description": "Design and develop advanced deep learning models to aid pricing and risk selection for the fast growing cyber business. 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": 618505392774, "name": "Senior Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1752004140, "t_create": 1751888040, "ats_job_id": "71101", "display_job_id": "2025-71101", "type": "ATS", "id_locale": "2025-71101-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505392774", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505375104, "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": 1752003480, "t_create": 1751572380, "ats_job_id": "71095", "display_job_id": "2025-71095", "type": "ATS", "id_locale": "2025-71095-en", "job_description": "Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams. Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS. Drive data quality, governance, and observability practices throughout the development lifecycle. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices A bachelor's degree in technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with designing, building, optimizing scalable data pipelines and architecture. Expert-level proficiency in SQL and a deep understanding of data modeling, data warehousing, and data architecture best practices. Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms like Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505375104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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? If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. A bachelor's degree in technical or business discipline, or equivalent experience 5+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable data pipelines and architectures Expert-level proficiency in SQL and strong experience with Python for data transformation, automation, and orchestration Deep understanding of data modeling, data warehousing, and data architecture best practices Hands-on Experience with modern public cloud-based data platforms - Snowflake (preferable), AWS, Azure Advanced proficiency in AWS services including (but not limited to): S3, Glue, Lambda, EC2, and Athena Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles Skilled in BI/reporting tools (e.g., Power BI, Tableau) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable. Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using AWS, Snowflake, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices. 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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": 618503086991, "name": "Senior Quantitative Analyst - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1749497460, "t_create": 1742411460, "ats_job_id": "69347", "display_job_id": "2025-69347", "type": "ATS", "id_locale": "2025-69347-en", "job_description": "Quantitative Model Development Design and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. Analytics & Visualization Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus). 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. 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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;}