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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Explore and experiment with emerging AI technologies such as large language models, natural language processing (NLP), retrieval-augmented generation (RAG), agentic AI, information retrieval, and computer vision, applying these technologies to prototype solutions for insurance challenges. Develop and iterate on prototypes using Python, thriving in a fast-paced R&D setting with a start-up mentality. Build custom algorithms, uncover data-driven insights, and share findings with the team and stakeholders. Continuously sharpen your skills by embracing new technologies and participating in hackathons, meetups, and other learning opportunities. You must be able to work full-time from January - June 2027. Working towards a Bachelor's, Master's or PhD Degree in Data Science, Artificial Intelligence (AI), Engineering, Computer Science, Mathematics, Statistics or another related technical field, with a strong academic record with a cumulative 3.0 GPA preferred. Relevant Internship or industry experience is strongly preferred. Fully authorized to work in the U.S. without restrictions. Strong technical, analytical, communication and organizational skills. Passionate about technology, innovation, and collaborative problem-solving. Curious and proactive in exploring new trends and tools in AI/ML. Excited to work in an environment where your ideas and contributions may shape real products. Eager to make an impact through hands-on prototyping, algorithm development, and data analysis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519733018", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618519159490, "name": "2027 Data Science Summer Internship Program - Current Master's", "posting_name": "2027 Data Science Summer Internship Program - Current Master's", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1791321240, "t_create": 1786984920, "ats_job_id": "95486", "display_job_id": "2026-95486", "type": "ATS", "id_locale": "2026-95486-en", "job_description": "What you've got Currently pursuing a master's degree in Statistics, Data Science, Analytics, Mathematics, Computer Science, or a related discipline 0-2 years of professional experience Intermediate experience with programming languages such as Python or R Foundational knowledge of statistical analysis concepts, techniques, and tools Demonstrated experience with exploratory data analysis, regression analysis, and model development and evaluation through coursework and/or internships Strong communication, analytical, critical thinking, and interpersonal skills Permanent work authorization in the United States", "stars": 0.0, "medallionProgram": null, "location_flexibility": "flexible_within_country", "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519159490", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618519834343, "name": "Global Legal & Compliance Data Officer", "posting_name": "Global Legal & Compliance Data Officer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Analytics", "business_unit": "0014-Global Legal & Compliance-US", "t_update": 1790701920, "t_create": 1789674420, "ats_job_id": "261901", "display_job_id": "2026-261901", "type": "ATS", "id_locale": "2026-261901-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519834343", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618519846384, "name": "Asst Dir, Data Products (STP)", "posting_name": "Asst Dir, Data Products (STP)", "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", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3029-USRM-Experience & Strategy-US", "t_update": 1790710020, "t_create": 1789743180, "ats_job_id": "261915", "display_job_id": "2026-261915", "type": "ATS", "id_locale": "2026-261915-en", "job_description": "Define and communicate the vision, strategy, and roadmap for Distribution & Marketing data products; align outcomes, KPIs, and success measures with stakeholders. Translate business needs into epics and user stories with clear acceptance criteria; maintain and prioritize the backlog. Lead one or more engineering squads through discovery, backlog grooming, and delivery with a strong definition of done in a matrixed environment. Partner across stakeholders in business, data engineering, architecture, security, reporting and analytics to drive alignment, build AI-ready data products for scale; evaluate build vs. buy and guide POCs. Embed data governance, security, AI readiness and compliance controls into product design and delivery. Communicate status, risks, and trade-offs to business and technical stakeholders in plain language; make timely decisions to keep delivery on track. Monitor product KPIs and operational health; reduce incidents and improve development cycle time through continuous improvement. Working knowledge of AI concepts and the data foundations they depend on, with the ability to evaluate AI-driven opportunities and partner effectively with analysts and data science teams. Manages complex projects and recommends and implements new or enhanced data products to better meet stakeholder or customer needs by leading the development of project backlogs and plans, including milestones and dates, identification of parties and processes impacted by a data solution. Grasp new technologies needed to progress initiatives, while demonstrating an understanding of the use of data in solving a business use case. Create roadmaps for product delivery, innovate, and create new product ideas. Prioritize efforts based on business value. Communicate to a senior audience how technical designs meet business needs, and shows a command of industry trends and business processes. Break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers. Ability to think through proof-of-concept solutions and how they will be maintained, and can help assess whether proof of concepts/proof of technology are viable and scalable by partnering with IT. Experience influencing and aligning stakeholders in large, matrixed organizations; able to communicate recommendations to senior leaders and simplify technical topics for business and engineering audiences. 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 5-7+ 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/618519846384", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618519798623, "name": "Portfolio Product Owner (Enterprise Data Management) - Liberty Mutual Investments", "posting_name": "Portfolio Product Owner (Enterprise Data Management) - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1790002140, "t_create": 1789490760, "ats_job_id": "261872", "display_job_id": "2026-261872", "type": "ATS", "id_locale": "2026-261872-en", "job_description": "Product strategy and roadmap Own the EDM product vision, multi-year strategy, and a transparent roadmap aligned to investment, accounting, operational, regulatory, and technology priorities. Prioritize using business value, risk, regulatory importance, data quality, operational impact, cost, and complexity; make trade-offs visible to stakeholders. Balance strategic transformation, platform modernization, regulatory commitments, production stability, technical debt, and run-the-business demand. Develop business cases for material EDM investments and capability changes. Maintain clear boundaries between EDM product ownership and the enterprise MDM mandate, and route gaps requiring broader solutions to an accountable owner. Manage dependencies across EDM, SimCorp Dimension, Aladdin, Snowflake, WSO, investment-accounting processes, and downstream reporting and analytics. Ensure AI use meets LMI information security, privacy, legal, model risk, and Responsible AI requirements, with defined human review, monitoring, and traceability. Build reusable prompts, skills, and knowledge assets, and help team members adopt AI in ways that improve quality rather than volume. Evaluate vendor advisory councils, early-access programs, and development partnerships, and ensure vendor-led innovation, including AI capability, meets LMI governance and risk requirements. Serve as the Financial Products point of accountability for EDM strategy, prioritization, and business outcomes. Build trusted relationships across OS&D, Investment Accounting, Public Markets, Private Assets, Finance, Risk, Compliance, the Data Office, and Technology; influence senior stakeholders without formal reporting authority. Lead the EDM Product Advisory Council with decision-ready agendas covering product health, roadmap progress, risks, and trade-offs, and a transparent record of decisions, owners, and due dates. Define escalation paths and decision rights across Financial Products, Technology, OS&D, the Data Office, and vendors; escalate material risks with context, options, and a recommendation. Bachelor's degree in finance, Accounting, Economics, Information Systems, Data Management, Computer Science, or a related field. 10+ years in investment management, investment operations, investment accounting, enterprise data management, or financial technology, including demonstrated product ownership of a complex platform, data product, or enterprise capability. Gresham Opus EDM (Markit EDM and S&P Global EDM), GoldenSource, BNY Data & Analytics (Eagle), Rimes, or a comparable enterprise data-management platform. Strong command of security master, price master, reference data, data quality, data lineage, exception management, and downstream data consumption. Track record translating complex business needs into roadmaps, requirements, and measurable outcomes, and leading cross-functional delivery across Product, Technology, OS&D or an equivalent investment-operations function, and Data. Strong stakeholder management, facilitation, written communication, and executive presentation skills; sound decision-making and judgment in a complex, matrixed organization. Agile delivery, PI planning, backlog management, and cross-product dependency management. Hands-on use of generative AI to improve product management, analysis, or operational workflows, with the judgment to identify unsupported conclusions and factual errors in AI output and the discipline to apply human review and data protection. Experience managing vendors or strategic technology partners. SimCorp Dimension, Aladdin, Snowflake, WSO, eFront, or related investment platforms. Insurance asset management or another highly regulated financial-services environment; public and private asset classes; investment-accounting and NAIC data requirements. 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Bachelor's degree in computer science, Engineering, Information Systems, or a related technical or business discipline (or equivalent experience) 5-6 years of experience in data engineering, data analytics, or a related technical role Strong proficiency in SQL, including writing complex queries, data modeling, and working with relational and analytical databases Familiarity with cloud-based data platforms and tools such as Snowflake, AWS or similar technologies Curious and open to exploring some mainframe technologies Strong analytical and problem-solving skills with the ability to interpret and communicate data-driven insights Demonstrated ability to work in an agile, squad-based environment with cross-functional teams Proactive, self-motivated, and a logical thinker with strong attention to detail Excellent written and verbal communication skills, with the ability to clearly convey technical concepts to non-technical stakeholders Experience with data integration and ETL/ELT tools such as IDMC Familiarity with CI/CD pipelines, version control (Git), and software development best practices Understanding of Cloud / Hybrid data architecture concepts Exposure to data governance, data quality frameworks, or master data management concepts Experience in the insurance or financial services industry is a plus", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519639162", "isPrivate": false, "latlongs": "33.0198431,-96.6988856"}, {"id": 618519042512, "name": "Actuary, Personal Lines Auto State Internal Indications", "posting_name": "Actuary, Personal Lines Auto State Internal Indications", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1787685900, "t_create": 1786376040, "ats_job_id": "77123", "display_job_id": "2026-77123", "type": "ATS", "id_locale": "2026-77123-en", "job_description": "Description The US Retail Markets (USRM) Personal Lines (PL) Auto State indications team is looking for a Senior Actuarial Analyst / Actuary to join our team. In this highly impactful role, you will play a pivotal role in producing quarterly rate indications to support rate decisions. This is a unique opportunity to help drive enhancements and sophistication to our processes and methodology. This position will work in a collaborative environment with partners and stakeholders in Risk Analytics and State Management. This is a ranged posting for a Senior Actuarial Analyst or an Actuary. Level offered is based on candidate experience at manager discretion. This role may have in-office requirements depending on candidate location. As an Actuary, you will: Lead work on state indications that serve as a foundation for rate guidance, ensuring that our rate actions and underwriting levers improve each state's profit position. Play a pivotal role in shaping state indication strategy, leveraging a robust suite of actuarial methods. Help identify and propose enhancements to our existing processes and methodologies to drive for operational excellence. Be an influential partner with other Risk Analytics subject matter experts to ensure a comprehensive understanding of unique state features, and collaborate with Directors of State Operations to develop customized state levers. Share your insights and recommendations which will greatly influence state-level decision-making and contribute to our goal of achieving top-quartile profitability. Build trust, credibility, and strong relationships will enable you to influence decisions and execution beyond the Auto Analytics team. Be a senior member of the team and also contribute to fostering an inclusive, equitable, and high-performing culture. Coach and mentor junior team members, sharing your expertise and supporting their development. In this role, you can expect to: Deliver state level indications to internal stakeholders to drive actions and influence decisions to achieve top quartile profitability. Build indications tools and processes to increase our organizational understanding of our methodology and inform state level profitability position. Proactively identify opportunities, drive analysis, and make recommendations for appropriate strategies to develop, evaluate and enhance state level profitability. Act as a trusted partner to State Management to help inform and influence state-specific strategy and tactics, including pricing and underwriting levers. Collaborate with Country Wide (CW) Indications, CW State Analytics, Actuarial, Finance, Claims and Data Science to gain better understanding and assess and improve profitability with a state focus. Support cross-team initiatives to enrich the deliverables with state-specific insights. Building trust and credibility with teams beyond State Analytics to drive decisions and execution. Support an inclusive, equitable and high performing culture. Coach and mentor junior team members. Ideal candidate will have: Strong technical proficiency in Excel (e.g., pivot tables, advanced formulas, data modeling) and SQL, with demonstrated experience querying and manipulating large datasets. Ability to design and build scalable, repeatable processes for data extraction, transformation, and reporting. Excellent communication skills, both written and verbal, with the ability to translate technical or analytical findings into clear, actionable insights for non-technical audiences. Strong stakeholder management skills, including the ability to gather and interpret stakeholder requirements, ask clarifying questions, and respond to follow-up questions with confidence and clarity. Comfort working cross-functionally and managing multiple stakeholder relationships simultaneously. Detail-oriented mindset with strong organizational and prioritization skills. Qualifications This is a ranged posting. Qualifications are as follows for each level of consideration: Senior Actuarial Analyst Proven math and analytical skills, as normally acquired through the pursuit of a Bachelor's degree in Mathematics, Statistics, Economics, Actuarial Science, or related field. Commitment to achieving Associateship or Fellowship in the Casualty Actuarial Society. Passing grades on a minimum of 5 Casualty Actuarial Exams is required. Minimum 3-5 years relevant experience required. Prior experience and solid knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Solid oral and written and presentation communication skills and ability to interact effectively within and outside the organization. Solid interpersonal skills and the ability to work in a team environment as well as independently. Ability to motivate and mentor peers and motivate and train subordinates. Ability to exercise discretion, and apply independent judgment and well-developed critical thinking skills in execution of assignments and projects. Ability to balance multiple projects with minimal direction. Advanced computing skills (MS Office Excel, SAS, etc.); Ability to build models of moderate complexity. Actuary Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. Ability to motivate and mentor peers and motivate and train subordinates. Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. About Us 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519042512", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618519569159, "name": "Global Investment Solutions Co-op (January - June 2027)", "posting_name": "Global Investment Solutions Co-op (January - June 2027)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1789161420, "t_create": 1788186720, "ats_job_id": "242036", "display_job_id": "2026-242036", "type": "ATS", "id_locale": "2026-242036-en", "job_description": "As a Global Investment Solutions Co-op, you will contribute to real projects that support how LMI manages technology, data, products, operations, and strategic initiatives. You will work alongside professionals across investments, operations, product management, data, and technology while gaining hands-on experience in a fast-paced and collaborative environment. As a co-op, you'll be aligned to one of the following Global Investment Solutions teams: Financial Products - Automation & Productivity: Support initiatives that improve how employees work and how operational information is used across LMI. Work may include enhancing dashboards, improving employee lifecycle processes, and partnering with stakeholders to identify and document automation opportunities. Data & Analytics Governance: Work on more technical data and AI-focused initiatives involving data quality, governance, dashboards, and AI-enabled data access. Experience or coursework in areas such as SQL, Python or scripting, APIs, cloud data platforms, data visualization, or data governance is helpful. Investment Products: Work at the intersection of business, technology, and product management by supporting product ownership, requirements development, and Agile delivery. Familiarity with Agile methodologies, software development lifecycles, systems thinking, or technology-enabled product development is helpful. Operational Strategy & Delivery: Gain exposure to the operational processes that support LMI's investment activity across areas such as trade operations, accounting, treasury, loans, and other investment functions. Work may include documenting processes, building centralized knowledge resources, identifying gaps, and supporting process improvement initiatives. Strategy & Execution: Support transformation and program-management initiatives that help LMI teams implement strategic priorities and new ways of working. Work may include process improvement, stakeholder communications, program reporting, change adoption, and the development of playbooks, process maps, and other materials. What You've Got You must be able to work full-time from January - June 2027. You have 0-2 years of professional experience. You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEM OPT who will require future sponsorship, are not eligible to apply. You're an undergraduate student working toward a Bachelor's degree in Business, Finance, Economics, Accounting, Communications, Data Science, Statistics, Computer Science, Information Systems, Mathematics, or a related field with a strong academic record; cumulative 3.0 GPA preferred. Experience or interest in areas such as data analysis, automation, process improvement, product management, investments, or financial operations is a plus. You have an interest in finance, investments, data, technology, operations, or related areas. You are curious, eager to learn, and comfortable taking on new challenges. You possess strong written and verbal communication skills and work effectively with others. You are organized, detail-oriented, and comfortable working across multiple priorities. You are comfortable using technology and interested in applying AI and other emerging tools in a professional environment. 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