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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Strong knowledge of predictive analytic techniques and statistical diagnostics of models. Strong knowledge of data science tools, with proficiency in Python for data science applications 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 relevant audience and stakeholders Demonstrated skill in persuading and influencing diverse stakeholders to gain buy-in and foster collaboration Ability to establish and build relationships within the organization. Ability to give effective training and presentations to management and other groups. 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. Insurance or financial services industry experience preferred.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513923413", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618506225387, "name": "2026 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": 1761837540, "t_create": 1756231860, "ats_job_id": "71970", "display_job_id": "2025-71970", "type": "ATS", "id_locale": "2025-71970-en", "job_description": "Description Data Science Graduate Summer Internship Program It's a data-driven world. Be part of a growing community of data science professionals that harnesses 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 computer vision, GenAI, machine learning, and various modeling techniques and software. In this 11-week Data Science Graduate Summer Internship Program, 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 Summer Internship Program 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 data scientists at our Boston Headquarters. Note: We encourage interested candidates to apply promptly, as the role may be unposted once we've received a sufficient number of candidates. We conduct interviews and extend offers on a rolling basis. 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, Data Science, 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 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. 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 dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. 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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Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS. Drive data quality, governance, and observability practices throughout the development lifecycle. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices. A bachelor's degree in technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with designing, building, and optimizing scalable data pipelines and architecture. Design and build data provisioning workflows/pipelines, extracts, data transformations, and data integrations using Snowflake cloud-native features in an AWS cloud environment. Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms--Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools). Exposure to the Investments or Finance domain is highly desirable. Familiarity with building and consuming APIs (e.g., REST, API Gateway). Awareness of security best practices, including access control, authentication, and secure processing.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513618787", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513489762, "name": "Data Solutions Analyst / Sr Data Solutions Analyst (Corporate Finance)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Corporate Services", "business_unit": "0022-Corporate Finance-US", "t_update": 1762442340, "t_create": 1758644760, "ats_job_id": "72381", "display_job_id": "2025-72381", "type": "ATS", "id_locale": "2025-72381-en", "job_description": "Working with the Business, IT and Corporate Finance, this person will help shepherd data through our strategic data platform Financial Data Resources (FDR). 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, with an 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. Jira experience strongly preferred. Works with IT to help scale prototypes. 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. This a range posting. Candidates will be considered for the appropriate level depending upon experience and qualifications Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred 3-5 years experience in coding for data management, data warehousing, or other data environments. Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred 2-4 years experience in coding for data management, data warehousing, or other data environments. P&C Insurance experience required. Python and/or SQL preferred. 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Define, document and enforce technical standards and best practices for Python code, data modeling, ETL/ELT, testing, CI/CD, deployment and documentation. Develop and maintain reusable patterns, templates, and shared libraries to improve productivity, consistency and reliability across the team. Evaluate new open-source and vendor tools, frameworks and platforms; run proof-of-concepts, assess fit, security, integration risk and ROI, and provide clear recommendations. Keep the team current with industry trends and emerging capabilities through training, knowledge-sharing and regular technical reviews. Maintain clear, discoverable documentation and data governance artifacts to support reproducibility, lineage and compliance. Collaborate across functions (data engineering, data science, data solutions analysts and others) to define standards, select tooling, and align on architecture and delivery priorities. 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 10+ years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack 10+ years' experience with top quadrant Business Intelligence tools Able to identify stakeholder and customer pain points and strategically address those concerns Able to describe value and influence the prioritization of data solutions Able to organize and balance resources to address customer pain points Leads a team to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513882769", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618513900242, "name": "Sr Data Solutions Analyst - Claims Operational Data & Reporting", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Policy Operations", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1761599220, "t_create": 1761250800, "ats_job_id": "72825", "display_job_id": "2025-72825", "type": "ATS", "id_locale": "2025-72825-en", "job_description": "performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business. Develop and maintain robust business intelligence solutions to meet the needs of our business partners, ensuring scalability and adaptability for future growth. Work independently on or lead medium- to high-complexity projects, prototyping and developing BI solutions that address organizational and customer needs. Design and develop reporting solutions that enable effective self-service data access, clearly communicating their value to stakeholders. Design proof-of-concept reporting solutions using an advanced understanding of multiple coding languages, ensuring that technical and business requirements are met through iterative solution testing. Serve as a technical leader and mentor within the team, offering assistance and guidance to junior team members in developing reporting skills. Influence strategic thinking within the team and across the broader organization by identifying and applying best practices, ensuring that iterative testing meets all requirements. Prioritize initiatives based on customer value, managing expectations for deliverables of high complexity and impact. Assist in creating roadmaps for reporting solutions, transforming vague ideas or challenges into actionable BI projects. Ability to gather and synthesize customer pain points and drive cross functional solutions 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 NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513900242", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513989860, "name": "Senior Data Engineer", "location": "Plano, Texas, United States", "locations": ["Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1761930780, "t_create": 1761930720, "ats_job_id": "72978", "display_job_id": "2025-72978", "type": "ATS", "id_locale": "2025-72978-en", "job_description": "Develops, constructs, tests and maintains data architectures for data platform, database, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Telecommuting permitted up to 100%. Employer will accept a Bachelor's degree (or foreign equivalent) in Computer Science, Electrical Engineering or a related field and five (5) years of experience in the job offered or in a Senior Data Engineer related occupation. Position requires demonstrable experience in the following: Delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake and Informatica (IDMC). Working with Data Vault 2.0, Vault speed and demonstrated advanced knowledge of data modeling tools and techniques. Demonstrating expertise in Python, JavaScript functions and Advanced SQL including complex data manipulation, query optimization, CTEs and UDFs. ETL tools (Informatica) and demonstrated strong understating of data warehousing concepts and platforms. Working with cloud environment AWS EMR, EC2, S3 and Athena. Demonstrating expertise in using IDEs and Tools including Eclipse, GitHub, Jenkins. Managing the source code in GitHub Actions and track and delivering requirements in Jira. Demonstrated proficiency in all the following technologies: Snowflake, IDMC, Data Vault 2.0, Vault Speed, Advanced SQL, Python, Kafka, GitHub Actions, CI/CD, AWS and S3 Athena. Demonstrated proficiency in data engineering languages, tools languages and frameworks. Demonstrated ability to develop on multiple platforms. Strong negotiation, facilitation and consensus building skills. Being versed in diverse technologies and new technical architecture principles and concepts. Demonstrated extensive knowledge in layered systems architectures solutions and designs and shared data engineering concepts. Business function(s) and I/T industry business issues. Demonstrated extensive knowledge of business operations, strategies and objectives. Demonstrated extensive understanding of agile data engineering concepts and processes. Demonstrated extensive consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design. Defining design reasoning, understanding potential impacts of design requirements. Designing and building data provisioning workflows, pipelines, physical data schemas, extracts, data transformations, and data integrations. Domestic travel required up to 5%. 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Assist in data quality analysis, identifying and documenting data issues or inconsistencies. Use tools like SQL, Python, PowerBI, and Custom GPTs to extract data and analyze trends. Maintain documentation that explains data governance policies. Contribute to team initiatives that enhance transparency, accountability, and trust in investment data. What You Bring You are an undergraduate student pursuing a degree in Data Analytics, Information Systems, Finance, Computer Science, Economics, Statistics, or a related field, with a strong academic record (3.0 GPA or higher preferred). Ability to work full-time from January - June 2026. Permanent work authorization in the United States. Solid understanding or strong interest in data visualization and statistical analysis concepts, investments topics such as portfolio management, fixed income, private and alternative investments, risk management, financial reporting, and research. Demonstrated experience or strong interest in Power BI dashboard development and data visualization, SQL or Python for data manipulation and analysis. Strong intellectual curiosity, demonstrated through an analytical mindset and a passion for solving data-related problems. Excellent communication skills and ability to collaborate in a team environment. 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