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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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. 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Our data engineers write code that turns trillions of bits of information into structured data--data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future. This role may have in-office requirements depending on candidate location You are a rising data science professional who loves to experiment, learn, and turn messy real-world data into business value but you may not yet see the perfect full-time role that matches every skill you bring. The US Retail Markets Data Science team has an opportunity designed for you! Over six intensive months you will: Train with purpose. Deep dive into Liberty's cloud native data and data science platforms, MLOps best practices, and insurance domain problems through structured courses, and shadowing. Build, ship, repeat. Apply what you learn on real USRM projects cleaning and feature engineering terabytes of telematics, claims, and geospatial data; crafting prototypes; and transforming them into production ready solutions. Find your fit. With dedicated mentors and coaches, you will explore multiple data science verticals (pricing, fraud, customer experience, marketing, etc.). At the end of the program we will match you to the US Data Science team where you and your new skills can make the greatest impact. Data extraction and manipulation skills, EDA, transformations, and general linear models (GLM); preferred skills of basic CART and GLM. Foundational knowledge of predictive analytics tools. 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 (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience or may be acquired through a Bachelor`s degree and 3+ years of relevant experience. Transform data into insight. Use Python, Snowflake, and open-source toolkits to ingest, clean, and engineer large structured & unstructured data sets. Build predictive models. Form hypotheses, select algorithms, test for statistical significance, and iterate owning model components or pipelines. Tell the story. Translate quantitative findings into crisp visual narratives and recommendations for tech and non-tech stakeholders. Enable smart decisions. Partner with stakeholders to clarify business tradeoffs and estimate the value of alternative actions. Customize solutions. Tailor code, notebooks, or dashboards for specific internal clients, balancing rigor with speed. Grow the community. Contribute to USRM Data Science lunch-and-learns, code reviews, and cross functional working groups. Working knowledge of statistical methods, predictive analytics, and machine learning, machine learning techniques and how to diagnose model performance.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505933914", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618505546044, "name": "Senior Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1755187200, "t_create": 1752491820, "ats_job_id": "71226", "display_job_id": "2025-71226", "type": "ATS", "id_locale": "2025-71226-en", "job_description": "Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of Data Engineering experience for the Senior level DE (may consider candidates with less experience). Experience developing back end, data warehouse technology solutions. Experience integrating multiple transactional systems with Snowflake (or similar) for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. High volume data experience a plus. Knowledge of a variety of data platforms including Snowflake (or similar), SQL and JAVA Experience with AWS (such as S3, Snowflake, Athena), Informatica (IDMC) and strong SQL skillset. AI experience including Prompt Engineering, CoPilot and ChatGPT Experience working with agile methodologies (Scrum, Kanban, XP) and cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers). Must be proactive, demonstrate initiative, and be a logical thinker, team oriented with strong collaboration, prioritization, and adaptability skills required. Extensive consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements. Understanding of insurance industry and products.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505546044", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618504920181, "name": "Guidewire Policy Center Principal Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1755261780, "t_create": 1749757620, "ats_job_id": "70708", "display_job_id": "2025-70708", "type": "ATS", "id_locale": "2025-70708-en", "job_description": "Guidewire Policy Center Principal Data Engineer Work as ONE team committed to excellence Work with a modern tech stack Work in a dynamic and exciting agile environment with Scrum Masters, Product Owners, and team members to develop creative data-driven solutions with our ETL pipeline that meet business and technical initiatives. Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Analyze, develop and execute data integration solutions, to manage the information lifecycle needs of an organization. Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices Builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Improve speed to market by focusing on current data needs as well as building out long-term strategic data solutions using AWS, Snowflake, SQL, Informatica, as well as other modern data technologies Provide successful deployment and provisioning of data solutions to production or other required environments. Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of professional data engineering experience Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms. Required - Experience integrating Guidewire systems creating Data warehousing solutions in Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. Extensive understanding of agile data engineering concepts and processes, such as CICD, pipelines, and iterative development and deployments Demonstrated experience delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake, IDMC ETL Requires critical thinking, data analysis, and data modeling experience Must be proficient in SQL and experience with Python and JavaScript Experience with ETL (Informatica PowerCenter/IDMC) and knowledge of variety of data platforms and ingestion patterns including eventing & streaming Demonstrate leadership and active pursuit of optimizing data, CI/CD process and tools, test frameworks & practices Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong leadership, communication, collaboration skills with a track record of taking solution ownership Thorough knowledge in the following areas: Personal Line P&C insurance, general IT concepts, strategies and methodologies, thorough knowledge of new data architecture principles and concepts, thorough understanding of layered systems architectures, extensive knowledge of business operations, strategies and objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504920181", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505946173, "name": "Associate Data Solutions Analyst", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Remote, Remote, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1755880560, "t_create": 1754569620, "ats_job_id": "71641", "display_job_id": "2025-71641", "type": "ATS", "id_locale": "2025-71641-en", "job_description": "Under moderate supervision, develop data solutions of limited complexity to meet the needs of the organization and business customers. Code proof-of-concepts utilizing a basic knowledge of multiple coding languages, leveraging reusable code modules. Assist in the design and development of data solutions that enable effective self-service data consumption, and describe their value to the customer. Apply a basic understanding of Agile techniques. Set expectations for deliverables of limited complexity. Assist in the maintenance of proof-of-concepts and prototype data solutions, and participate in assessing their viability and scalability in partnership with IT. Work with IT to assist in building robust systems focused on long-term, ongoing maintenance and support. Ensure data solutions include deliverables required to achieve high-quality data. Apply a basic understanding of Business Intelligence tools, including visualization and user experience techniques. Apply a basic knowledge of the principles of metadata, lineage, business definitions, compliance, and data security to project work. Demonstrate a limited ability to grasp new technologies as needed to progress initiatives. Proficiency with SAS, SQL, Power Query, Power BI, JCL, Jira, SAP, and FOCUS preferred Strong written and oral communication skills required Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines preferred 1-2 years' experience in coding for data management, data warehousing, or other data environments", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505946173", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505375104, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1754422500, "t_create": 1751572380, "ats_job_id": "71095", "display_job_id": "2025-71095", "type": "ATS", "id_locale": "2025-71095-en", "job_description": "Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams. 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. Expert-level proficiency in SQL and a deep understanding of data modeling, data warehousing, and data architecture best practices. 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/618505375104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505974017, "name": "Assistant Director, Data Products", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Digital Customer Experience", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1755625860, "t_create": 1754682360, "ats_job_id": "71672", "display_job_id": "2025-71672", "type": "ATS", "id_locale": "2025-71672-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505974017", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505992021, "name": "Product Owner II - Financial Data Modernization", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1755782100, "t_create": 1754927820, "ats_job_id": "71691", "display_job_id": "2025-71691", "type": "ATS", "id_locale": "2025-71691-en", "job_description": "Customer & Stakeholder Partnership: Partner with leaders, business stakeholders, technology partners, and Data Strategy and Governance to deeply understand customer problems, define product vision, and align strategic priorities related to financial data modeling, governance, and cloud data platforms. Backlog & Delivery Ownership: Own and maintain a prioritized product backlog that translates complex financial data and engineering requirements into clear, actionable user stories with acceptance criteria. Manage scope and trade-offs to maximize delivered value and ensure the team's focus on the most impactful work. Agile Team Collaboration: Actively participate in Agile ceremonies (sprint planning, demos, retrospectives), facilitating communication between stakeholders and the squad. Remove roadblocks, clarify requirements, and support continuous alignment on product goals and strategy. Cross-Portfolio Alignment: Collaborate to align data needs and priorities in alignment with overall Finance Data Strategy and Global Finance Technologies North Star Architecture. Negotiate dependencies and priorities across internal and external teams to support integrated delivery. Product Health & Metrics: Define, monitor, and communicate product-level KPIs and health metrics. Balance short- and long-term value delivery with costs, risks, and compliance requirements. Analyze feasibility, cost of delay, and economic trade-offs to support informed decision-making. Governance & Compliance: Understand regulatory, compliance, and industry constraints impacting financial data products. Incorporate these considerations into prioritization and delivery planning to ensure high-quality, compliant data solutions. Customer-Driven Design: Lead customer-driven design (CDD) and usability testing efforts with stakeholders and end-users to validate solutions meet business needs and usability expectations. Incorporate feedback to iterate on the product. Innovation & Continuous Improvement: Foster an experimental mindset to drive innovation in data solutions amidst uncertainty. Identify opportunities for process improvements, automation, and enhanced governance in data modeling and provisioning workflows. Documentation & Knowledge Sharing: Partner with the Data Solutions team to ensure comprehensive documentation of data definitions, transformations, and product roadmaps. Support knowledge transfer and change management activities to facilitate adoption and operational excellence. Bachelor's degree in Business, Computer Science, Information Technology, or related field; Master's degree preferred. Minimum 3 to 5 years experience as a Product Owner, Business Analyst, or equivalent role within Agile teams delivering data products, preferably in financial services or insurance, as well as 7 years in business, technology, or consulting. Strong understanding of data modeling concepts, data governance principles, and cloud data platforms (AWS, Redshift, Snowflake), enabling effective collaboration with data modelers and data engineers. Familiarity with financial data, insurance domain knowledge, or financial services required. Proven ability to translate complex business and technical requirements into actionable work with clear acceptance criteria. Experience managing product backlogs and facilitating Agile ceremonies in fast-paced, dynamic environments. Exceptional communication and stakeholder management skills, proficient in influencing and aligning diverse groups including business, IT, and finance leaders. Demonstrated problem-solving skills with ability to make timely decisions balancing competing priorities. Knowledge of regulatory, compliance, and risk considerations in financial or insurance data products. Comfortable working across multiple portfolios and coordinating with senior product owners and portfolio managers. Strong analytical mindset with a focus on metric-driven product management and continuous improvement. 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Analytics & Visualization Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus). 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. Must have hands-on experience with Python, SQL and familiarity with BI/visualization tools (Dash, Power BI, Jupyter Notebooks). Nice-to-have, Practical knowledge of machine learning and AI (including GPT-based models) and their applications in financial analysis. Tenacious problem-solving abilities with a focus on efficiency and effectiveness. Strong attention to detail and passion for learning. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. 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Gather and document product requirements, clearly communicate requirements to stakeholders, and ensure accurate implementation. Act as the subject matter expert for the pricing program and assigned states, provide thoughtful recommendations that influence state decisions and help drive corporate strategy. Lead cross-functional workstreams and manage moderate to high complexity projects. Conduct complex analyses to drive and support business decisions; where necessary, conduct in depth research of competitor offerings and filings. Educate IT partners on business vision and plan, and both IT and business partners on the impact of changes. Independently manage project timelines, flag risks and develop contingency plans, escalate blockers as appropriate. Regularly update leadership and stakeholders on project progress, addressing concerns and managing communication channels. Lead job shadow discussions with less experienced analysts. 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