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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screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}"}, "page_image": "", "max_applications_refer": 100, "favicons": {"favicon": "https://static.vscdn.net/images/careers/demo/libertymutual-sandbox/1700039258::LM_Favicons-02.png"}, "applyButton": {"background": "#99E5EA", "color": "#1A1446"}, "defaultState": {"pymww": false}, "mapConfig": {"markers": {"markerInitial": {"color": "#06748C"}, "markerSelected": {"color": "#99E5EA"}, "markerDisabled": {"color": "#C9F3F4"}}, "enabled": true}, "hideJobCart": true, "recaptcha_enabled": 1, "companyName": "Liberty Mutual Insurance", "showLoggedOutNotificationsPrivacyPolicy": true, "hideEightfoldBranding": false, "customJobDescEnhancedTableGate": false}, "positions": [{"id": 618515053799, "name": "Analyst II, Data Science", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1769713140, "t_create": 1769601540, "ats_job_id": "74318", "display_job_id": "2026-74318", "type": "ATS", "id_locale": "2026-74318-en", "job_description": "Description Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform underwriting decisions. Research and develop in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications. Understand our underwriting process and principles, determine predictive modeling strategies to improve insurance risk selection and pricing. 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. Domestic travel required up to 10%. Telecommuting permitted up to 60%. Qualifications Employer will accept a PhD (or foreign equivalent) in Statistics, Data Science or related field and 1 year of experience in the job offered or in an Analyst II, Data Science-related occupation. Position requires demonstrable experience in the following, which can be gained in a professional or academic setting. Demonstrated proven, in-depth knowledge of deep learning, machine learning, predictive analytics, and statistical modeling, including model diagnostics and validation. Demonstrated comprehensive knowledge of data science toolkit, encompassing data warehousing, data mining, and advanced data analysis techniques. Extensive hands-on experience with statistical programming languages including Python, SQL and R. Deep understanding and practical application of MLOps best practices for efficient model development, deployment, and monitoring. Demonstrated hands-on experience of using MLFlow, Databricks, and Docker Containers. Demonstrated comprehensive knowledge of insurance operations and familiarity with procedures of finance, underwriting, insurance claims and information technology. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing. Demonstrated a strong understanding of the work context and the impact of data science on insurance products. Domestic travel required up to 10%. Telecommuting permitted up to 60% REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select \"Search Jobs,\" enter job requisition #2026-74318 in the \"Job ID or Keywords\" field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail. 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515053799", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618515044356, "name": "Solaria Labs Data Science Co-op (July - Dec 2026)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1769713380, "t_create": 1769530200, "ats_job_id": "74302", "display_job_id": "2026-74302", "type": "ATS", "id_locale": "2026-74302-en", "job_description": "Collaborate within an innovative lab environment--balancing focused coding sessions with active participation in ideation and product design. Develop and iterate on prototypes using Python, thriving in a fast-paced R&D setting with a start-up mentality. Build custom algorithms, uncover data-driven insights, and share findings with the team and stakeholders. Passionate about technology, innovation, and collaborative problem-solving. Curious and proactive in exploring new trends and tools in AI/ML. Excited to work in an environment where your ideas and contributions may shape real products. Eager to make an impact through hands-on prototyping, algorithm development, and data analysis. Working towards a Bachelor's, Master's or PhD Degree in Data Science, Engineering, Computer Science, Mathematics, Statistics or other relevant field Fully authorized to work in the U.S. without restrictions Strong technical, analytical, communication and organizational skills A strong academic record with a cumulative 3.0 GPA preferred Must be able to work full-time from July - December 2026", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515044356", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514935577, "name": "Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1770070587, "t_create": 1768570440, "ats_job_id": "74126", "display_job_id": "2026-74126", "type": "ATS", "id_locale": "2026-74126-en", "job_description": "Design, build, and iterate on LLM- and GenAI-based POCs for claims use cases (e.g., claim summarization, adjuster Q&A, work review, customer communications). Architect end-to-end GenAI systems integrating LLMs, RAG pipelines, agentic workflows, and structured/unstructured claims data. Apply strong software engineering and ML Ops practices, including object-oriented Python, modular design, experimentation, and monitoring. Define and implement GenAI evaluation and measurement strategies, including human-in-the-loop review and automated quality metrics. Collaborate with Engineers, Product, Architecture, UX, and Claims stakeholders to translate ambiguous problems into working solutions. Provide technical mentorship and thought leadership through design reviews and collaboration. Expert-level Python development with strong object-oriented design and engineering best practices. Proven experience rapidly building Generative AI and LLM-based applications beyond simple demos. Strong ML Ops experience, including model lifecycle management, experimentation, evaluation, monitoring, and operational readiness. Demonstrated ability to measure AI/ML and GenAI system quality and business impact using quantitative and qualitative approaches. Experience partnering with non-data-science stakeholders in complex, enterprise environments. Experience with GenAI and application frameworks, such as: OpenAI APIs or comparable foundation model platforms LlamaIndex, LangChain, LangGraph CrewAI or other agentic orchestration frameworks Experience deploying AI systems in cloud-based, enterprise-scale environments. Familiarity with vector databases and embedding-based retrieval systems. Knowledge of insurance claims processes, data, or technology. Experience transitioning GenAI prototypes into production in partnership with engineering teams. FastAPI or similar Python API frameworks", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514935577", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618514895542, "name": "Director II, Data Science", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1769798040, "t_create": 1768326240, "ats_job_id": "74067", "display_job_id": "2026-74067", "type": "ATS", "id_locale": "2026-74067-en", "job_description": "Lead transformative data science initiatives that support USRM Service priorities (e.g., customer retention, profitable growth, call center productivity, process automation). Lead a team of data scientists and analysts in developing, deploying, monitoring, and refining AI and data science models (GBM, LLM). Develop your team's technical, business, and soft skills by setting clear goals, inspiring high performance, and supporting professional growth and development. Collaborate closely with cross-functional teams to understand business challenges, strategize and execute data-driven solutions, and communicate progress and impact. Ensure that our team's ML Ops capabilities continue to advance and adapt to new technologies and best practices. Extensive technical experience across the data science lifecycle, from deciding what problems to solve, through training and deploying models (batch and real-time inference), to evaluating and continually monitoring in-market performance. Prior experience leading and developing high-performing teams. Strong proficiency in Python (and ideally SQL); able to review and guide production-quality code and designs. Proven ability to collaborate and communicate effectively with stakeholders to identify key business problems and implement impactful data-driven solutions. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Knowledge and experience with customer service or call center operations. Strong technical proficiency in Natural Language Processing (NLP) and Generative AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514895542", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618514988681, "name": "Enterprise Data Governance Leader", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1769713260, "t_create": 1769007540, "ats_job_id": "74231", "display_job_id": "2026-74231", "type": "ATS", "id_locale": "2026-74231-en", "job_description": "Shape the vision: Bring a strong point of view on what effective data governance looks like, grounded in industry perspective, internal context, and practical tradeoffs. Champion the evolution and adoption of our Enterprise Data Governance Playbook, ensuring alignment with compliance, risk, and business objectives. Design our well-lit path: Define the future state where metadata and data quality are increasingly automated and AI-driven to enable trusted decisions from high-quality data products. Provide thought leadership on the path design and lead AI experimentation to prove what works. 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) $163,500 - $201,500. Annual FTO days (Flexible Time Off): 20 Strong written and oral communication skills required BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred Familiarity with Agile practices and leading delivery in an Agile environment. Familiarity with process management and operating model design a plus. Director I, Data Management (STP): 7-10+ years' experience leading data governance, stewardship, metadata, and data quality programs across complex domains. Director II: Data Management (STP) 10+ years' experience leading data governance, stewardship, metadata, and data quality programs across complex domains. 7+ years as a managing data steward, domain data lead, or equivalent governance leadership role preferred. 1-3 years' experience with enterprise data catalog and metadata management platforms a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514988681", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514486279, "name": "Data Product Owner, LMI Data Office - 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": 1769713200, "t_create": 1765223460, "ats_job_id": "73544", "display_job_id": "2025-73544", "type": "ATS", "id_locale": "2025-73544-en", "job_description": "Own the vision, strategy, and roadmap for integrating external market data into LMI's data warehouse and core data products Develop and manage the product backlog, ensuring clear prioritization aligned with business value, technical dependencies, and stakeholder needs. Partner closely with Data Engineering chapter to design and deliver scalable, well-governed, and high-quality data solutions Act as the voice of the customer (investment teams, operations, risk, and compliance) to ensure data is curated and accessible to meet end-user needs. Drive incremental delivery using Agile methodologies, facilitating sprint planning, review, and refinement activities. Ensure that data products adhere to LMI's standards for data governance, lineage, accessibility, and quality. Bachelor's degree in computer science, Engineering, Finance, or Business Administration (advanced degree preferred). 8+ years of experience working as a Product Owner, Data Product Manager or Data Strategist role within financial services, preferably investment management Working knowledge of investment data domains, such as security reference data, company reference data, benchmarks, positions, and transactions Strong understanding of data management concepts - master data management, metadata, lineage, and data quality frameworks Exposure to order management systems, accounting book of record, or market data vendor platforms Experience working in Agile/Scrum environments with a strong ability to lead, prioritize, and manage multiple workstreams. Excellent communication and storytelling skills; able to articulate technical concepts in business terms Strong analytical and critical-thinking skills with a focus on driving business value through data Demonstrated proficiency in SQL and AI tools, experience with Snowflake a plus", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514486279", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514486275, "name": "Senior Data Management Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1770051300, "t_create": 1765224300, "ats_job_id": "73545", "display_job_id": "2025-73545", "type": "ATS", "id_locale": "2025-73545-en", "job_description": "Data governance & stewardship Establish, document, and enforce enterprise data governance policies, standards, roles (stewards/owners), and stewardship processes for Corporate Procurement, Real Estate, Enterprise Security, and related functions. Maintain business glossaries, metadata, and lineage documentation to ensure a single source of truth and common business definitions. Data quality, lineage & auditing Build and operate automated data quality frameworks (profiling, validation, reconciliation) and lineage tracking to detect, escalate, and remediate data issues. Design audit processes and controls to ensure data integrity and regulatory/compliance readiness. Data access, security & controls Implement and manage data access strategies and controls (RBAC, IAM, role-based access, masking, encryption) in collaboration with IT and security teams. Support data classification, privacy requirements, and best practices for handling sensitive data. Data products & architecture support Help design, build, and maintain sustainable data products, pipelines, and architectures (warehouse, lake, Snowflake/Redshift or equivalent) that meet business and analytical needs. Collaborate with engineers to ensure solutions are maintainable, testable, and production-ready. Analytics enablement & tools Provide hands-on support and best-practice guidance for analytical toolchains (Power BI, Databricks, Excel, Python) and ensure data is consumable for reporting and advanced analytics. Leverage data cataloging and lineage tools to increase data discoverability and trust. Operational automation & continuous improvement Automate recurring data management controls and monitoring to reduce manual effort and improve reliability. Identify process gaps and inefficiencies; propose and lead improvements aligned to business priorities. Stakeholder engagement & influence Act as the primary liaison between business leaders (Procurement, Real Estate, Finance, Security) and technical SMEs to translate business needs into governed data solutions. Present findings and recommendations to senior leadership; influence decision-making through data-driven insights and trusted relationships. Leadership & mentoring Provide technical guidance and mentorship to junior data stewards and analysts. Drive cross-team collaboration to deliver measurable outcomes and adoption of governance practices. Required Education: Bachelor's degree in Business (Finance, Accounting), Computer Science, Information Systems, Data Science, or equivalent experience. Experience: 5+ years' experience in data management, data engineering, data governance, finance or analytics in an enterprise environment. Core technical skills: Strong SQL and relational database experience. Hands-on experience with ETL/ELT tools and modern data platforms (data warehouse and data lake architectures; Snowflake, Redshift, or equivalent). Proficient in Python for data analysis/automation. Practical experience with data catalog / metadata tools and data lineage solutions. Familiarity with Informatica (Informatica Data Cloud Management/IDMC preferred). Proficiency with analytical and reporting tools: Power BI and Excel required; Databricks experience preferred. Data governance & security: Demonstrated experience implementing data governance, stewardship, metadata management, and data quality processes. Knowledge of data security and access controls (RBAC, IAM) and best practices for handling sensitive data. Communication & influence: Excellent written and verbal communication and presentation skills; ability to interface with senior leadership and technical SMEs. Mindset: Comfortable working in ambiguous environments; able to find and create value through pragmatic solutions and relationship-building. Experience in the insurance industry or working directly with Procurement or Real Estate (lease administration and financials). Experience with cloud data platforms (AWS, Azure, GCP) and related managed services. Experience with data quality tools (Informatica Data Quality) and automated testing/CI pipelines for data. Certifications such as CDMP, CBIP, or cloud/data platform certifications (AWS/GCP/Azure). 2+ years mentoring or leading small technical teams.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514486275", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618515021916, "name": "Data Engineering Manager - GRS Tech", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1769803920, "t_create": 1769289060, "ats_job_id": "74265", "display_job_id": "2026-74265", "type": "ATS", "id_locale": "2026-74265-en", "job_description": "Description Data is the future -- join GRS Data as our next Engineering Manager and lead the evolution of our enterprise data platform. You will own the operational support, enhancements, and roadmap for Power BI, SAS Viya, Teradata, Informatica and the GRS data warehouses. Experience in Snowflake and AWS will be a huge plus. This is an exciting chance to enhance our platforms, improve performance and reliability, and shape how Liberty Mutual uses data on a scale. You will apply your best knowledge of architecture and engineering practices to lead the Data Foundations technology area, providing guidance and oversight across teams. You'll empower users across GRS to access reliable, secure, and high performing tools such as Power BI, Teradata, Snowflake, AWS, etc. and you'll manage, and support the data warehouses that hold critical historical and transactional data used by actuarial, analytics, claims, operations, and data science teams across GRS. You will also be a partner to data modernization initiatives and support new data technologies such as Snowflake, Iceberg, Glue, etc. About the role: Ensures application or portfolio of platforms are enhanced and maintained to meet business functional need. In partnership with Product Owner, identifies key performance indicators to measure success of work product. Understands the business domain and product vision; in partnership with other team members (Scrum Master, Architect, Product Owner, etc.) aligns work of the team toward the shared goals for the product. Monitors team effectiveness and addresses issues affecting team productivity. Supports team members in addressing or escalating issues to make the overall team more efficient. Removes roadblocks and obstacles; manages interdependencies when needed. Initiates and fosters collaborative partnerships with current and potential clients, technology and business managers, vendors and technology executives; develops relationships that support increasing efficiency and effectiveness. Manages the quality of work delivered by team members and deals effectively with performance issues in a timely manner. Coordinates and delivers performance reviews and drives professional development, including rotations and special assignments. Facilitates or provides mentoring experiences. Provides relevant technical coaching and support to team members. Hires talent and actively engages in recruiting processes. Coordinates with vendors to ensure talent management, on-boarding and transition are performed in a consistent manner. Participates in the development of business and/or technology vision, strategies, critical success factors and operating plans for application, unit or platform. May establish financial plan for the application, portfolio or overall unit and manages to plan. May lead efforts to evaluate, select and implement new technologies to enhance application or platform. Qualifications Knowledge of technology concepts, strategies and methodologies typically acquired through a Bachelor`s or Master`s Degree in technical or business discipline and a minimum of five years' experience in a practice relevant domain including delivering data engineering solutions in an agile environment. Experience with data platforms such as Power BI, SAS Viya, Teradata, and Informatica. Experience in Snowflake and AWS is preferred. 3 years in a leadership role preferred. Able to manage complex technology development concepts, capabilities and maturity. Requires excellent analytical ability, consultative, communication, presentation and management skills, strong judgment and ability to effectively liaise with cross functional stakeholders and optimize teams. Demonstrated ability to operate collaboratively and build consensus. In-depth knowledge of technology standards and guidelines; knowledge of management concepts, practices and techniques; thorough knowledge of business functions and operations, objectives and strategies. 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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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Engage in collaborative efforts with stakeholders to identify and implement innovative solutions aimed at increasing process efficiency. Establish strong working relationships with team members to thoroughly understand processes, gather detailed requirements, and test solutions effectively. Employ inquisitive techniques to extract necessary information for the development of effective and efficient processes. Develop and refine business processes, implementing solutions for the collection and management of requirements to ensure they meet business needs. Collaborate with business stakeholders to identify and clarify user story acceptance criteria and support the planning of user acceptance tests. Identify issues within existing Anaplan Models and other tools, processes, and data sources, and proactively suggest improvements to enhance accuracy, reduce latency, and eliminate inefficiencies. Participate in continuous improvement efforts to enhance business processes, systems, and support mechanisms. Prepare regular status update documentation and conduct meetings for ongoing projects and solutions. Create and maintain comprehensive process documentation and lead end-user training sessions. Empower contractors through effective mentorship, fostering collaboration, and achieving collective success. Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Masters in same or related disciplines strongly preferred 5-7 years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack 5-7 years' experience as developer with top quadrant Business Intelligence tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514857141", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618514883537, "name": "Catastrophe Risk Management Co-op (July - December 2026)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1769713200, "t_create": 1768242300, "ats_job_id": "74019", "display_job_id": "2026-74019", "type": "ATS", "id_locale": "2026-74019-en", "job_description": "What you've got You have 0-2 years of professional experience. 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ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} 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only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !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;}