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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"type": "ATS", "id_locale": "2025-68775-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 The US Data Science (USDS) Personal Auto Modeling group is looking for talent to help drive pricing segmentation for Liberty's lead line. We are expanding our team to increase sophistication and enable complex state solutions, with several openings for individual contributors to help build and implement our Usage Based Insurance (Telematics) and Core Auto Pricing models. This is a great opportunity to combine business acumen with predictive modeling expertise to influence every aspect of the product development process, from product design to model build and deployment. This is a joint posting for multiple openings across both our Core Auto Pricing and Usage Based Insurance (Telematics) teams. Our USRM Data Science Personal Lines Auto Modeling group is seeking talented individual contributors to help develop pricing models, optimize and plan the delivery of those models, perform research, and bridge the gap between the technical decisions of model development and the practicalities of business implementation for Usage Based Insurance (Telematics) and/or Core Auto Pricing products. In these roles, analysts will closely collaborate with a high-functioning team of data scientists and insurance professionals to develop and implement our next generation of pricing models for either our Core Auto Pricing programs or our Telematics programs. Leverage your business acumen, project planning skills, intellectual curiosity, and technical proficiency through both collaborative and independent projects. Analysts will have the opportunity to influence every aspect of the product development process, from product design to model build and deployment, but will also have opportunities to collaborate on related projects with our internal partners. Successful candidates will understand business goals and strategy, have experience with data sourcing and exploratory data analysis, and be familiar with the basics of statistical modeling. Solid communication and interpersonal skills are critical to the roles, as the individuals we hire will work very closely with their respective team and internal partners as we implement, monitor, and enhance our programs. These positions will play a key role in expanding the Core and Telematics auto pricing capabilities of the organization across the US. This is a ranged posting, level offered will be based on skills and experience at manager discretion. This role may have in-office requirements depending on candidate location. In these roles, you can expect to: Assist in the build of sophisticated pricing models for Liberty Mutual's Personal Lines Auto programs. Understand and articulate trade-offs between design choices. Help coordinate the filing and implementation of our programs. Understand and successfully respond to state department questions about our pricing models. Undertake analytical research that will inform business decisions. Develop solutions to business problems in the context of our broader Auto portfolio. Test and implement novel features to better align rate to risk. Learn to use rigorous modeling techniques to inform pricing decisions. Regularly engage with the data science community and stay up to date with data science best practices. Preferred skills and experience include: Can correctly specify, build, interrogate, and interpret predictive models. Prior experience in insurance, statistics, banking, finance or other regulated industries. Familiarity with Python, R and/or SQL programming languages. Qualifications Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Master's degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor's degree (scientific field of study) and 3+ years of relevant experience. 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. 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Knows when to build a model, and how to apply the outcome to a business problem. Familiarity with Python, R and/or SQL programming languages. Has experience with project management. Is familiar with version control software (e.g. Git or Bitbucket). Prior experience in insurance, statistics, banking, finance or other regulated industries. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. 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Conduct Cross Lines research to improve modeling accuracy and best practices across all Small Commercial Core lines of business Independently build and interpret complex loss cost models for Specialty lines of business, incorporating learnings from other Business Lines as appropriate Independently build or incorporate complex sub-models to improve accuracy Explore and utilize advanced modeling techniques Collaborate with Delivery, Underwriting Effectiveness, and other business partners to help implement new pricing programs Enable the business to make clear tradeoffs among choices, with a reasonable view into likely outcomes. Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations and business processes Effectively communicate results in written, oral, and presentation formats Act as a mentor and help develop less experienced analysts on the team Regularly engage with the data science community and lead cross functional working groups. Identify new strategic opportunities for use of theoretical methods and tools. Drive innovation in the application and development of tools and practices. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. 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Act as DS SME and be responsible for setting the various levels of scientific strategies for many of our initiatives. Create prototypes and MVP solutions to leverage Generative and other AI techniques to empower multiple teams and to push the edge of the possible. Identify tools and best practices for key elements of DS lifecycle, both traditional DS and GenAI, possible directions Working cross-org (and cross-functionally) to implement and scale solutions with focus on execution through others. Work with product owners, scientists and engineers of varying levels of expertise, and influence solutions across the Enterprise Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. 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Identify new strategic opportunities for the use of theoretical methods and tools. Apply forward looking thinking to inform methodological advancement. Drive innovation in the application and development of tools and practices. Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. Identify and tests hypotheses, ensuring statistical significance, and build predictive models for business applications. Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Responsible for larger components of highly complex projects. Guide aspects of project design as a technical consultant for the team. Customize analytic solutions to specific client needs. Regularly engage with the data science community and leads cross functional working groups. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert analytical/problem solving and research skills; Ability to use results of analysis to persuade team or department management to a particular course of action. Proficiency in Python or R required. Proficiency in SAS and/or SQL required. Hands-on experience with large analysis datasets and Enterprise-scale database systems. Strong verbal and written communication skills, and ability to exchange ideas and convey complex information clearly and concisely. Ability to perform high-level work both independently and collaboratively as a project team member or leader. Has a value driven perspective with regard to understanding of work context and impact. Ability to give effective training and presentations to peers, management and less senior business leaders. Knowledge of insurance principles, underwriting and ratemaking concepts and the various functions of an insurance organization, including Claims, Pricing, Underwriting, and Finance desirable.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503250639", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"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": 1741875540, "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": 618502594700, "name": "Principal Data Solutions Analyst, Small Commercial Data Strategy and Solutions", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1741699260, "t_create": 1739887740, "ats_job_id": "68785", "display_job_id": "2025-68785", "type": "ATS", "id_locale": "2025-68785-en", "job_description": "Provides, builds, and maintains data solutions to meet the needs of the enterprise. Provides technical advice to lower level associates and other functional areas. Under minimal direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages (Snowflake SQL, SAS SQL, Python/GIT, PowerBI) 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 to lower level associates. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Works with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Has a comprehensive understanding of Agile (including JIRA) techniques. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Works with IT to help scale prototypes. 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 NoSQL implementation, ETL, Java, scripting languages (Python, SQL). 5-7 years experience as developer with top quadrant Business Intelligence tools (PowerBI, Tableau).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502594700", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618503218103, "name": "Sr. Data Architect (Portfolio Architect)", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Dallas, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1743439980, "t_create": 1742733840, "ats_job_id": "69390", "display_job_id": "2025-69390", "type": "ATS", "id_locale": "2025-69390-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503218103", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"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. 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