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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"t_create": 1745852880, "ats_job_id": "69992", "display_job_id": "2025-69992", "type": "ATS", "id_locale": "2025-69992-en", "job_description": "Build and develop a team of best-in-class modelers Own the accuracy and effectiveness of our Auto Underwriting & Fraud models Establish yourself as a self-driven leader, providing both strategic and tactical direction in the US Personal Lines Auto space Develop and implement a modeling strategy for comprehensive UW programs across the policy life cycle, as part of the holistic auto strategy (UW, Pricing, Telematics) Provide expert insights and data-driven recommendations to inform product design decisions in collaboration with internal stakeholders, and communicate vision to senior leaders Explore and utilize advanced modeling techniques Build strong relationships with leaders across the organization to maximize the impact of our Underwriting programs Proven math and analytical skills, as typically acquired through the pursuit of an FCAS or advanced degree in Mathematics, Statistics, Economics, Actuarial Science or related field. Strong analytical skills with solid understanding of casualty insurance techniques, standards, and assumptions. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504130303", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618503728065, "name": "Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Seattle, Washington, United States", "Columbus, Ohio, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1746476040, "t_create": 1744907040, "ats_job_id": "69819", "display_job_id": "2025-69819", "type": "ATS", "id_locale": "2025-69819-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 creative problem solvers in Liberty Mutual's Insights & Solutions group harness the power of data, analytics and technology to create innovative solutions that advance our business, make an impact on our industry and promote individual careers. Insights & Solutions' cross-functional team interacts with every area of our enterprise, challenging the status quo and helping people embrace today and confidently pursue tomorrow. The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. 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. Distribution and Marketing Data Science (DMDS) develops predictive analytics tools and provides data-driven insights that inform strategic decision making, with solutions ranging from optimizing marketing tactics to quote personalization. By leveraging AI, machine learning and other advanced analytics techniques, DMDS increases efficiency and drives profitability across Liberty Mutual. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow. Level of position offered will be based on skills and experience at manager discretion. This role may have in-office requirements based on candidate location. The US Retail Markets Data Science team is looking for an experienced and self-motivated Data Scientist to join our Direct Distribution Data Science team. As a Director I, you will play a pivotal role in the design, development, and implementation of Machine Learning driven solutions to support the Direct distribution channel. This is a highly technical position where you will work as part of cross-functional teams across distribution, marketing, customer experience, and technology. You will have the opportunity to experience the entire data science lifecycle as you will collaborate with ML Engineers to deliver projects to production. A successful candidate will: Have expertise with Python, version control (Git), and building a wide range of models, GBM, Uplift, NN. Have the ability to collaborate with non-technical stakeholders, engineers, and fellow data scientists to bring complex ideas to market. Have the desire to create and drive constant improvement. Qualifications 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. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 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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Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured datasets in order to generate insights to inform business decisions. Identify and tests hypotheses as part of building and developing predictive and generative models for business applications. Translate quantitative analyses and results into accessible visuals and high-level presentations for non-technical audiences to help stakeholders interpret the data. Enable the business to make trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to specific client needs. Develop solutions to loosely defined problems with guidance from teammates as you iterate on approaches. Regularly engage with the data science community and participate in cross-functional working groups. Assistant Director: $149,000 - $197,500. 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. Analyst II: Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree. Assistant Director: Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g. scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g. computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand the business problem, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. 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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": 1745517000, "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": 618503500021, "name": "Principal Data Strategist", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1746814260, "t_create": 1744217520, "ats_job_id": "69664", "display_job_id": "2025-69664", "type": "ATS", "id_locale": "2025-69664-en", "job_description": "Set a data strategy vision by looking outward to understanding emerging trends and business needs. Develop an enablement strategy to deliver value-driven use cases aligned to business needs. Develop a maturity strategy focused on advancing data fundamentals. The initial focus of this role will be to develop a strategy to advance in risk management and data privacy. Other strategic projects will be assigned as needed. Update and present to senior leaders and executives to align on the vision and data impact. Define key performance indicators (KPIs) to measure the success of the data strategy. Communicate the data strategy and its progress to stakeholders to gain buy-in. Lead and oversee the execution of large-scale data initiatives and projects. Partner with product owners, analysts, and engineers to enable strategic initiatives. Foster a data-driven culture within the organization to encourage data literacy and data-driven decisions. Champion data initiatives and secure support from stakeholders at all levels. Demonstrated ability to design and execute strategies aligned with business goals. Proficient in translating complex data strategies into compelling narratives that drive decision-making. Expertise and experience in data governance, privacy, security, and risk management practices and can influence setting future state frameworks Demonstrated understanding of Data Analytics platforms and practices, particularly related to industry trends. Skilled in utilizing data visualization techniques to present insights in a storytelling format. Experienced in developing high-quality presentations using PowerPoint to clearly communicate key messages. Demonstrated expertise in communicating intricate topics effectively to varied stakeholders, including senior leaders. Experienced in analyzing data to provide compelling recommendations that drive decision outcomes. Demonstrated ability to manage and execute complex, long-term projects involving multiple teams across the organization. Strong knowledge of data warehousing platforms (i.e. Snowflake) BA/BS or Master's in Data Analytics, Business Administration, Information Managements, Operational Research or related field; 5-7+ years of experience working in data analytics, data governance, strategic or business planning, project management, and/or technical data management.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503500021", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502689059, "name": "Senior Data Scientist- Global Products", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1743780240, "t_create": 1740590280, "ats_job_id": "68956", "display_job_id": "2025-68956", "type": "ATS", "id_locale": "2025-68956-en", "job_description": "Design and develop advanced deep learning models to aid pricing and risk selection for the fast growing cyber business. Design and fine-tune large language/vision models to glean valuable insights from different kinds of unstructured data. Develop and adopt the best-in-class MLOps best practices throughout the data science lifecycle Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Buildout in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders Research and develop NLP, CV and other AI/ML models including LLMs, VLMs and GenAI applications to improve risk selection and pricing. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for smaller components of projects of moderate-to-high complexity. Regularly engages with the data science community and participates in cross-functional working groups. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. 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Under limited direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of financial insurance knowledge and multiple coding languages to meet technical and business requirements. Ability to perform iterative solution testing to ensure specifications are met. Outstanding organizational skills and ability to manage multiple priorities while maintaining attention to detail and ensuring tasks are completed accurately and timely. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Assists stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has a strong understanding of Agile techniques and demonstrated experience in fostering cross-functional collaboration between business and technology teams. Works with IT to help scale prototypes. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. 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. Display a basic understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work. Has a strong understanding of Business Intelligence tools, including visualization and user experience techniques. 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Participates in peer development and code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD). Analyze Snowflake metadata (Information schema) tables to understand the access pattern and create report. Design and build data access provisioning platform with API microservices and react Portal Design and develop programs and tools to support access provisioning, data security, data discovery and threat modeling. Bachelor's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 3+ years of professional access management experience. Proficient in data access patterns and tools, and good proficiency in general programming languages and frameworks. Good understanding of agile and processes, such as CICD, pipelines, and iterative development and deployments Demonstratable experience in delivering solutions in Snowflake access management, BigID (Data Discovery). Experience in Java Spring boot (Microservice), JavaScript, React (UX) and SQL Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong communication, collaboration skills with a track record of taking ownership of the Task. 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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;}