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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"2025-67965-en", "job_description": "Collaborate with cross-functional teams across the enterprise to develop innovative predictive and generative AI solutions and solve Liberty's most challenging data science problems. Apply a broad range of sophisticated analytic techniques to manipulate large structured and unstructured datasets, generating insights that inform and drive business decisions. Research, design and develop cutting-edge solutions tailored to business needs. Identify and test hypotheses and build models for various 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 clear trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to meet specific client requirements. Guide aspects of project design as a technical consultant, providing expertise on complex components of larger projects. Regularly engage with the data science community and participate in cross-functional working groups. Mentor junior team members and provide training sessions to peers and management. Ability to work EST 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. 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 business problems, 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. Experience contributing to open-source data science and machine learning projects.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501999756", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"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": 618501824633, "name": "Director, Data Science, Earnix Design", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Seattle, Washington, 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": 1736373720, "t_create": 1734390840, "ats_job_id": "67773", "display_job_id": "2024-67773", "type": "ATS", "id_locale": "2024-67773-en", "job_description": "Lead a working team to build pricing and underwriting programs in Earnix for all lines. 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. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. 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. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501824633", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618501938880, "name": "Director II, Pricing Tools Leader - US Data Science Infrastructure", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, 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": 1736546460, "t_create": 1734727500, "ats_job_id": "67876", "display_job_id": "2024-67876", "type": "ATS", "id_locale": "2024-67876-en", "job_description": "Lead and manage a team of analysts, demonstrating exceptional people management skills, to design and implement tools and pipelines that improve the ease of bringing our pricing programs to market. Shape the direction of the Pricing Tools team and foster a cohesive team culture of ownership, growth, and advancement. Coach and develop a team of analysts to guide them to achieve their full potential, enhancing their skills in technical, analytical, and strategic aspects of pricing tool development. Develop strategies and roadmaps for tooling to drive lower cycle times for our pricing programs. Collaborate heavily within USDS on the design and integration of tooling and processes, with a focus on those that connect with Earnix. Oversee the building and maintenance of Python packages, processes, and applications utilized across the organization. Provide technical guidance for analysts. Collaborate with teams outside of USDS, including Product Delivery and USRM IT for tools that interact outside USDS but still lie along the critical path for bringing pricing programs to market. Proven ability to lead and drive projects to completion through others, including demonstrated experience in effectively managing and developing talent. Exceptional stakeholder management skills and the ability to build strong relationships across various levels of the organization. Extensive knowledge of pricing product development, deployment, and maintenance, enabling the identification of opportunities for improvement. Proficient in Python, git/GitHub, CI/CD, and best development practices. Must have exceptional planning, analytical, decision-making, communication, and project management skills. Adept at building relationships and actively engaging with individuals at all levels of the organization to stay informed on ongoing projects, challenges, and pain points. Bachelor's degree in a quantitative field with 10+ years of related experience within insurance, actuarial, data science, or technology preferred, or a Master's degree plus 8 years of relevant experience. Ability to exchange ideas and convey complex information clearly and concisely, verbally, visually, and in writing, to stakeholders, including SBU/Corp Dept leadership and enterprise-wide. Strong desire to help others and make a difference. Resilient, curious, acts in service of the best answer, holds themselves to a high standard and wants to be around others who do the same.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501938880", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618501612347, "name": "Assistant Director, Data Privacy", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3035-GRS-Office of Operations-US", "t_update": 1736878380, "t_create": 1733749200, "ats_job_id": "67640", "display_job_id": "2024-67640", "type": "ATS", "id_locale": "2024-67640-en", "job_description": "Implement and drive business unit privacy by design processes in close coordination with the Global Privacy Team , BU Partners, Product Owners, and Data Users. Help drive implementation of enterprise privacy and AI compliance initiatives within Global Risk Solutions. Partner to drive cross-team design and development of sustainable data driven solutions that meet the needs of the business customers while considering regulatory requirements. Lead evaluation, root cause analysis and problem-solving sessions to identify areas of opportunity across multiple areas and teams. Define methods to automate and strengthen data management controls for complex assignments and establish consistency and sustainability of data privacy and security practices across GRS. Be able to influence decision makers on the outcome of an initiative based on its perceived value. Partner with stakeholders to define metrics that are impactful for the business. Maintain close working relationships with data providers and partners, partnering with IT architects to design and develop solutions that meet technical and business requirements of projects. Defines the business case and engages in priority setting with input from stakeholders. Identifies and gains agreement on project objectives, scope, timing, and resources. Ensures project resources are optimally sourced and deployed. A portion of this role will be spent implementing the governance program vision, promoting the role of governance and enforcing policy, while following data governance best practices. Partner with Enterprise Responsible AI Team for Generative Artificial Intelligence related matters and guide divisions with Generative AI related advising. Represent GRS interests in Enterprise Privacy, Data Use and Ethics Councils. Minimum of 10 years of relevant experience to include project management work and process improvement or equivalent Post-graduate degree and/or CIPP accreditation are highly preferred. 4+ years of privacy operations experience required, preferably with a multi-national financial services company. Expert-level ability in managing all aspects of the project management life cycle for multiple projects at one time to include those complex in nature. Strong ability to exercise influence and build consensus; communication skills; promote collaboration, teamwork and change initiatives; and to build value for customers through innovation and continuous improvement. Strong knowledge of data protection and information security laws, rules, and regulations, as well as industry leading-practices and standards. Understanding of privacy enhancing technologies (consent management, incident management, cookie management, etc.). Familiarity with process management required. 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Works closely with Sr. Directors and Directors of Product Owners, Architects, and business teams to influence roadmaps and how they align to enterprise business capability framework. Provides oversight and recommendations for system and application projects in line with organizational goals and business capability domains. Provides thought leadership to business stakeholders, Solutions Delivery within Experience and technology partners in building & cultivating a forward-looking business capability map based on the strategic priorities of the organization. Provide expertise and guidance for high complexity business capability domains. Establish roadmaps and drive the rationalization of solutions for core business capabilities across brands, lines of business, and programs. Identify optimization potentials, such as leveraging shared capabilities between processes and business units. 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Provides updates to manager and collaborates with manager regarding highly complex matters requiring escalation. Manage the entire lifecycle of the project, from problem identification to research and analysis and resolution and close out. 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