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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Create and maintain rigorous data models for Earnix analytical projects and API. Facilitate design of Rate Order Calculations in Earnix and integration with upstream services to fully enable capabilities of Earnix Ensure accuracy of all pricing and non-pricing outputs from Earnix Coordinate planning and execution with Tech and Data Solutions teams with understanding of high-level rating architecture. Design and implement other use cases of Earnix as a rating engine. As required, troubleshoot and support post launch queries and issues. Applies broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Applies forward looking thinking to inform methodological advancement. Drives innovation in the application and development of tools and practices. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Regularly engages with the data science community and leads cross-functional working groups. The ideal candidate will have: 2+ years of proven experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live or IBM Modeler Strong understanding of rating algorithm structures, including their components, inputs, and outputs, is highly preferred. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for automation script development, python skills a plus. Earnix or similar rating tools knowledge is a plus. 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. 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Researches and develops predictive analytic tools. Leverages knowledge to create/design solutions for business needs. Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, and builds 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 tradeoffs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for larger components of projects of moderate to high complexity. Guides aspects of project design as a technical consultant for the team. Regularly engages with the data science community and participates in cross functional working groups. Apply for this role if it interests you, even if you don't have all the skills listed! 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. Has a value driven perspective with regard to understanding of work context and impact. 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Build, refine, evaluate, and deploy GLM and ML models. Understand our UW rules and processes in great detail; determine predictive modeling strategies to improve process and profitability outcomes. Collaborate with Delivery, State, IT, and various Personal Lines experts across the organization to develop and implement models. Present recommendations to key stakeholders. Engage with the Data Science community. Experience with statistical software packages (e.g., R, SAS, Python, and Emblem) desired. Ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing. 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 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501485242", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618501485785, "name": "Analyst, Claims - Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1734637800, "t_create": 1732216860, "ats_job_id": "67404", "display_job_id": "2024-67404", "type": "ATS", "id_locale": "2024-67404-en", "job_description": "Collaborates with claims process, experience, technology, and analytics teams to help create the most accurate, caring, and efficient claims organization in the insurance industry. Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Follows ML Ops best practices to create organized code repos, production-quality code, and reproducible results. Identifies and tests hypotheses, ensuring statistical significance, as part of building 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. Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Assists in customizing analytic solutions to specific client needs. Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects. Engages with the Data Science community. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501485785", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618499964602, "name": "2025 Graduate Data Science Summer Internship Program", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1733332380, "t_create": 1724430600, "ats_job_id": "65870", "display_job_id": "2024-65870", "type": "ATS", "id_locale": "2024-65870-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 Data Science Graduate Level Internship It's a data-driven world. Be part of a growing community of data science professionals that harness the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward. The details Calling all aspiring data scientists! Here's the perfect opportunity to grow your knowledge and skills in key areas such as cloud computing, machine learning, and various modeling techniques and software. In the 11-week Data Science Graduate Level Internship, you'll build robust models and use statistical software, such as R, Python, and SAS, to solve critical business problems in product management, claims, distribution, marketing, HR, legal, finance, and other business functions. At the conclusion of your summer internship, you'll deliver a presentation of your work and skills to your colleagues and the data science management team. The Data Science Graduate Level Internship may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States. Our interns often transition into full-time opportunities at our Boston office. Qualifications What you've got You possess proven statistical, mathematical, computational, and analytical skills, which you are acquiring through the pursuit of a Master's degree or Ph.D. in Mathematics, Statistics, Economics, Operational Research, Computer Science, or a related field. You have completed doctoral qualifying exams (preferred). You have a record of academic achievement. You demonstrate solid oral, written, communication, and interpersonal skills. You are a whiz at statistical software, such as R, Python, and SAS. Programming skills are highly desirable. About Us This position may have in-office requirements depending on candidate location. 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 45,000 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 San Francisco Los Angeles Philadelphia", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618499964602", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618501495172, "name": "Assistant Director, Small Commercial Product Design & Modeling - Data Science", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Chicago, Illinois, United States", "New York, New York, 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": 1733846040, "t_create": 1732313700, "ats_job_id": "67436", "display_job_id": "2024-67436", "type": "ATS", "id_locale": "2024-67436-en", "job_description": "Responsible for the price segmentation of a portfolio in excess of $4 billion, Small Commercial insurance team members of varied backgrounds execute on a wide array of critical initiatives. 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. Apply for this role if it interests you, even if you don't have all the skills listed! 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. Has a value driven perspective with regard to understanding of work context and impact. 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Participates in squad/team demos, retrospectives, and all other ceremonies Works daily with the agile working group, clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy Monitors and maintains the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with desired outcomes Strong written and oral communication skills required Experience in communicating recommendations to senior business leaders preferred 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 3-5+ years of experience working in coding and data solutions design principles, particularly in open source tools and technology", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501593959", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618501635908, "name": "Analyst, Advanced Analytics", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1734719640, "t_create": 1733985600, "ats_job_id": "67717", "display_job_id": "2024-67717", "type": "ATS", "id_locale": "2024-67717-en", "job_description": "Build systems to evaluate and monitor the performance of in-market models. Translate quantitative analyses and findings into accessible visuals. Collaborate with data scientists to design A/B tests and interpret their results as we pilot new models. Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results. Gain experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Assist in customizing analytic solutions to specific client needs. Query data to conduct ad hoc analyses of metrics. May assist data scientists with parts of developing new models, potentially including feature engineering, data acquisition, and hyperparameter tuning. May utilize statistical techniques to solve business problems. May utilize, update and adapt predictive modeling tools and/or focus on the application of the tools. Bachelor's Degree plus 2-4 years of experience, or Master's Degree with no professional experience, or equivalent. Good programming skills in python and SQL. Communication skills that enable collaboration with data scientists and business partners. Ability to think critically about business processes and how our models affect business results Experience with technologies often used by data scientists, including SAS, Snowflake, Airflow, S3, EC2, and PowerBI Bachelor's Degree plus 2-4 years of experience, or Master's Degree with no professional experience, or equivalent. Proficient in Excel, PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Knowledge of data sources, tools and common statistical principals. Understanding of intricacies of business supported is helpful. Understands how actions tie to systems capabilities and flow through to our financials/business drivers. 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#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 .main_menu .menu>li:last-child>a{padding-right:13px;} .header_color .main_menu ul:first-child>li>a:hover{background:rgba(255, 255, 255, 0.8)!important;} .menu-item-has-children:hover{background:rgba(255, 255, 255, 0.8);} .main_menu .avia-menu-fx{display:none;} .main_menu .current_page_item a .avia-menu-text{border-bottom:1px solid #1a1446;padding-bottom:6px;} .main_menu .sub-menu,.main_menu .sub-menu li a{background-color:rgba(255, 255, 255, 0.7)!important;border:0;font-size:14px!important;font-family:'roboto-bold'!important;} .main_menu .sub-menu li a:hover{background-color:#e8e8e8!important;} .main_menu li.dropdown_ul_available>a{padding-right:30px!important;} .main_menu li.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:12px;} .main_menu li.dropdown_ul_available>a:hover::after{} #header_main{border:none;background-color:#ffd000;} .logo img{width:250px!important;margin-top:10px;} @media screen and (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;}