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. The Auto Product Design and Modeling team has an opening for a Director II, Data Science position that will drive pricing sophistication for personal auto products and lead our Agency Channel Core team. In this highly visible role, you would have the opportunity to shape our Personal Auto pricing segmentation for years to come, including the convergence of our products across channels. The role will report directly to the Auto Design Agency Lead and manage a team of 4-6 analysts, potentially in multiple locations. FCAS or other insurance designations Expert skills in statistical software packages (e.g., Emblem, Python packages) highly desired. Strong knowledge of insurance principles, underwriting and ratemaking concepts High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling (GLMs, GBMs, Elastic Nets), and code (e.g. Python, R, SQL) preferred. 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. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience. Own the accuracy of our pricing segmentation for our Agency Personal Auto product, including incorporating innovative features and modeling techniques Facilitate convergence and automation efforts that aim to improve our efficiency and speed to market Build and develop a team of best-in-class modelers Support the rollout of new pricing models across US Auto products, including in complex markets Establish yourself as a self-driven leader, providing both strategic and tactical direction in the US Personal Lines Auto space Build strong relationships with leaders across the organization to maximize the impact of our product builds and to help implement new pricing programs into market every 12 to 18 months", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503444382", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502587427, "name": "Senior Data Analytics Engineer, USRM Modeling Data Solutions", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1745441940, "t_create": 1739820060, "ats_job_id": "68773", "display_job_id": "2025-68773", "type": "ATS", "id_locale": "2025-68773-en", "job_description": "Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis. Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance. Implement data quality checks and governance best practices to ensure data accuracy and reliability. Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources. Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives. Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities. Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502587427", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502587431, "name": "Principal Data Analytics Engineer, USRM Modeling Data Solutions", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1741875600, "t_create": 1739820060, "ats_job_id": "68772", "display_job_id": "2025-68772", "type": "ATS", "id_locale": "2025-68772-en", "job_description": "Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization's analytical needs. Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders. Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions. Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security. Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data. Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities. Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration. Strong written and oral communication skills required. Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s 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 Python, SQL, ETL, Spark, Snowflake. 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/618502587431", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618503545761, "name": "Senior or Principal Data Solutions Analyst, Operational Data & Reporting", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1744829580, "t_create": 1744389720, "ats_job_id": "69726", "display_job_id": "2025-69726", "type": "ATS", "id_locale": "2025-69726-en", "job_description": "Provides, builds and maintains data solutions to meet the needs of our business partners and ensures these solutions can be scaled appropriately. Independently works on highly complex assignments and prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions. Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met. Acts as a technical leader and mentor for the team, providing assistance & guidance to lower-level team members Design and develops data solutions that enable effective self-service data consumption and can describe their value to the customer. Influences strategic thinking across the team and the broader organization Identifies and utilizes best practices and iterative testing to ensure requirements are met. Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity. Able to lead projects and collaborate with stakeholders to ensure effective project execution. Assist in the creation of roadmaps for data solutions and turn vague ideas or problems into a data product. Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work. Create ad-hoc reporting on Adobe analytics Build ETL pipelines using SQL, SAS 5+ years coding experience specifically with SQL and Python 5+ years application experience with Power BI and SAS 5+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in ETL, scripting languages (Python, Perl, Shell) 5+ years experience as developer with top quadrant Business Intelligence tools Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in ETL, Java, scripting languages (Python, Perl, Shell)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503545761", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502755455, "name": "Principal SAS Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1743429120, "t_create": 1741101960, "ats_job_id": "69063", "display_job_id": "2025-69063", "type": "ATS", "id_locale": "2025-69063-en", "job_description": "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. Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Job introduction: The EDATA (Enterprise Data & Analytics Technology) organization is actively searching for a highly productive Principal SAS Data Engineer of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding and testing of our SAS analytic solutions. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, best practices, procedures, governance and quality assurance for data analytics deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members. About the job: Enhance and strengthen the support model and triaging capabilities in collaboration with our offshore support partners. Act as a thought leader by establishing standards, guardrails, and best practices for SAS analytics tooling, and drive governance and compliance. Leverage observability, data, and platform costs to identify and recommend opportunities for improvement, addressing complex technology gaps within business processes. Collaborate with the Data Office and stakeholders to analyze workloads and recommend strategies for improving efficiency, while actively driving the implementation of those recommendations. Document existing processes, organizational structures, architectures, and external systems for clarity and knowledge sharing. Contribute to the development and enhancement of solutions, ensuring alignment with business needs. Support engineers during implementation, including cutover plans, post-implementation support, issue resolution, transition planning, and knowledge sharing. Communicate effectively and gather feedback from stakeholders to ensure alignment and support. Proactively identify potential impacts on business strategy, driving vision and cross-functional collaboration to achieve strategic objectives. Qualifications Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 8+ years of Data Engineering experience. In-depth knowledge of IT concepts, strategies, and methodologies. Possess extensive experience in building, designing, troubleshooting, and coding SAS processes/workloads, with deep user-level knowledge of SAS. Familiarity with diverse and emerging technologies, as well as new architectural concepts and principles. Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies. Proficient in data engineering languages and tools, including Python, SAS, R, SQL, and DB warehouse technologies; knowledgeable in new and emerging technologies. Understanding of code management practices and monitoring tools, along with GitHub. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Highly developed negotiation, consensus building & influencing skills, facilitation, and the adaptability to respond to change quickly. Exceptional oral and written communication skills; strong presentation capabilities. Proven ability to effectively collaborate with all levels of the organization. About Us 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 proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. 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": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502755455", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618503082462, "name": "Senior Analyst, Direct Distribution Analytics", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Seattle, Washington, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1745408520, "t_create": 1742390640, "ats_job_id": "69332", "display_job_id": "2025-69332", "type": "ATS", "id_locale": "2025-69332-en", "job_description": "Utilize a variety of web analytics tools and data sources to lead multivariate analysis and A/B testing focused on enhancing the digital sales funnel experience through customer segmentation Lead work streams both independently and cross-functionally, providing stakeholders and Agile Product teams with recommendations for future enhancements and answering complex questions by synthesizing data from various sources Analyze variance in key online performance metrics versus plan and size and prioritize new opportunities for implementation Experience querying, curating, and manipulating large datasets from multiple platforms to deliver insights to critical business questions Ability to effectively balance various tasks simultaneously, communicate proactively with stakeholders, and adapt to shifting or competing priorities in a fast-paced working environment Strong PowerPoint and presentation skills with experience preparing and delivering presentations for a wide range of audiences, including influencing senior leadership on key priorities and business decisions Web analytics experience is a plus (e.g. Adobe Analytics, Google Analytics); a strong interest in Direct Distribution is necessary Collaborate with front line leaders, Operational Analytics, agile squads, and Operational Enablement to identify opportunities, ideate and prioritize solutions and inform implementation Ability to tie quantitative and qualitative insights together to inform appropriate prioritization of work while supporting our front-line sales agents Balance profitability and growth in executing on our Segmentation and Direct Monetization goals Think critically and holistically to drive a cohesive strategy across the entire Direct ecosystem Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required. Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, SQL). Must have good planning, analytical, decision-making and communication skills. 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Thought partner to the Office of Underwriting, Specialty US Casualty & Majors Excess Casualty leadership; fosters partnerships across the North America organization to improve Lead & Excess profitability Collaborate effectively across casualty teams to deliver a consistent approach to pricing accounts Manages or participates in studies that underlie actuarial assumptions and are designed to improve risk selection and pricing including but not limited to rate indications, increased limits analysis and predictive models Provides consultation to senior leaders and other groups on issues such as pricing, rates, and related matters, the development and use of pricing models/tools, business planning, contingency plans, or other financial studies. Foster partnerships across the North America organization to improve Lead & Excess profitability Monitors and analyzes financial results in order to communicate the impact of strategic and operational plans. Develops and revises strategic and tactical plans as necessary to meet corporate objectives and respond to environmental changes. May profile the book of business from a financial perspective to quantify levels of risk and ensure that desired quality is maintained. Adapts tools to unfamiliar or unique situations Identifies data requirements for analysis, tool development, reporting and decision making Ensures the organization uses it effectively to reach profit and growth objectives. Partner with IT and Data Science Solutions to implement pricing models Manages a staff of 6 including a manager and individual contributors Bachelor's degree required. Fellowship in the Casualty Actuarial Society (FCAS) designation required, or comparable actuarial education/designation combined with relevant experience. Demonstrated ability to exert influence over senior managers, operating managers, and others on matters of importance to the SBU. Analytical skills with expert understanding of all actuarial techniques, standards, and assumptions. Demonstrated expertise in financial management of a P&C business. Ability to manage a mix of assignments that will be both strategic and tactical. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing. Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the GRS Actuarial. Ability to give effective presentations to senior management and other groups. 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Responsible for hiring, managing, and deploying resources across team(s) to enable optimal alignment of staff to business priorities. Manages total cost of ownership, advocates for the removal of technical debt, assists and supports team effectiveness. 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 applications or platforms. 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 software solutions in an agile environment. 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. 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Query and validate large and complex datasets to deliver analytically sound insights. Serves as a thought partner in managing state results and strategy by monitoring key metrics and understanding the competitive environment. Presents analyses to DSOs, senior leadership and other cross-functional partners that translates complex work into an easy, digestible story with an appropriate level of detail. Independently build and manage project plans to deliver results and implement solutions in support of state and organizational goals. Influence decision making and alignment with cross-functional partners through clear and effective communication. Mentor, formally and informally; and provide basic analytical coaching to less experienced analysts. 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. 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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;}