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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When you take part in this 11-week internship, you'll have the opportunity to research, analyze, and recommend solutions that can impact business decisions at one of the leading property and casualty insurance companies in the country. The details: You'll work individually and as part of a team to gather and analyze data using both qualitative and quantitative methods\u2014all while you enhance your skills and refine your business acumen in the fast-paced insurance industry. You'll participate in a curated training curriculum to enhance your analytical and technical skills. What you've got: You have 0-2 years of related professional experience. You are working towards a Bachelor's degree in Economics, Finance, Business, MIS, Mathematics, Statistics, Computer Science or a related discipline. A strong academic record with a cumulative 3.0 GPA preferred. You possess strong interpersonal, communication, organizational, and leadership skills. 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Strong critical thinking skills and inquisitive mindset, with ability to elevate thinking and apply judgment to how components fit into the broader picture. Ability to leverage experience and analysis to gain support and influence others. Strong quantitative, analytical, and written and oral communication skills. Strong leadership skills and ability to work independently and as a member of a team, and coach and inspire junior team members. Ability to manage multiple priorities, including project work and department responsibilities. Advanced proficiency with Microsoft PowerPoint and Excel. Insurance or financial services industry experience a plus (not required). The role is located in Boston, MA only; working in a hybrid model (weekly blend of 3-4 days in-office and 1-2 days working from home). Top-tier strategy consulting experience. Motivated by high impact, high visibility work. Independently navigate and decipher an ambiguous environment. Demonstrated strong leadership abilities and care about professionally developing those around you. 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Allocates investment across products and ensures sufficient resources Owns the overall product backlog and provides guidance to product owners on the scrum teams that comprise the complete effort Uses the overall backlog to coordinate the work of product teams, through each team`s product owner Functions as the final arbiter at the product level to order work and accepts the final release plan Manages final escalation on trade-offs across the product portfolio Provides customer-oriented feedback on product and feature demos for scrum sub-teams Provides leadership to agile product teams and has direct managerial responsibilities for Product Owners and other Agile development team roles Defines objectives and development plans in alignment with IT and business objectives Manages team to achieve business results Champions Agile development methodology transformation across the company through contribution to Agile education initiatives and communicating agile principles to executive audiences Monitors the application of Agile principles across product teams Business expertise and knowledge of Agile development methodologies and IT project management as typically acquired through a Bachelors` degree in relevant field (business, computer science, etc Minimum of 10 years` experience in business, engineering, technology and/or consulting Master`s degree preferred At least 5 years` experience managing product management teams Proven business expertise needed to set clear priorities across the product portfolio and drive business value Has in depth knowledge and ability to influence business strategy Possesses strong communication and influence skills within reporting line as well as with IT and business peers Excellent collaboration skills -- leading execution across teams, influencing across organizations, respected, experience of working across levels from developers and designers Demonstrates passion for improving customer outcomes and experiences Embraces change and `outside of the box` ideas-does not feel attachment to the status quo Encourages non-hierarchical culture", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618520392583", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618520496671, "name": "Product Owner II, Insurance Investment Accounting, Liberty Mutual Investments", "posting_name": "Product Owner II, Insurance Investment Accounting, 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": 1793983560, "t_create": 1793150220, "ats_job_id": "262401", "display_job_id": "2026-262401", "type": "ATS", "id_locale": "2026-262401-en", "job_description": "Product Strategy, Prioritization & Delivery Partner with the Accounting Portfolio Product Owner and stakeholders to shape and execute the Accounting Product roadmap across reporting frameworks (statutory/NAIC, GAAP, and TAX), ensuring alignment with broader product strategy and regulatory requirements. Own and prioritize the Accounting Product backlog, balancing business value, regulatory deadlines, strategic enhancements, technical improvements, and production support, and serve as the point of coordination for all accounting- and reporting-related changes across product backlogs. Translate business, accounting, and regulatory requirements into actionable user stories with clear acceptance criteria. Proactively collaborate with other Product Owners, SimCorp Dimension's REGCOE, and technology and data teams to anticipate dependencies, remove impediments before they affect delivery, and drive outcomes. Set clear deadlines and handoff dates for each deliverable and maintain visibility of partner teams' commitments and deadlines so that dependencies, sequencing, and critical-path risks are managed in advance. Lead Agile delivery activities, including backlog refinement, sprint planning, demonstrations, and coordination of development, testing, business validation, and production implementation. Evaluate business value, feasibility, and regulatory risk to make informed prioritization decisions and ensure timely delivery of high-quality solutions. Apply working knowledge of investment accounting, investment operations, and the upstream data that feeds reporting (trade capture and settlement, security master and reference data, pricing and valuation sources, custodian and counterparty data, and corporate actions) to evaluate how upstream changes affect reporting accuracy and timing. Work closely with Data Product and Investment Product, alongside Accounting, Finance, and Technology stakeholders, to define data requirements, ownership, and quality standards for the data that feeds accounting and reporting. Bachelor's degree in Finance, Accounting, Business, Technology, or a related field, or equivalent professional experience. 5+ years of experience in business, technology, financial services, or consulting, including 3+ years working with Agile teams in a Product Owner, Business Analyst, or similar role. Working knowledge of investment accounting and financial and regulatory reporting frameworks, including statutory accounting principles (SAP) and NAIC investment reporting, GAAP, and TAX, including basis differences between them. Demonstrated experience managing product backlogs, translating complex business and technical requirements into actionable user stories, and delivering technology or data-driven solutions. Strong analytical, problem-solving, and decision-making skills, with the ability to evaluate business processes, data dependencies, risks, and competing priorities. Excellent communication and collaboration skills, with demonstrated ability to influence cross-functional teams, external partners, and senior stakeholders Proven ability to proactively plan and independently drive complex initiatives from requirements through implementation, set and meet deadlines, manage dependencies, and deliver business value in a deadline-driven environment. Demonstrates strong AI literacy and uses AI-enabled tools to enhance speed, accuracy, and insight generation while maintaining sound judgment and compliance with governance standards Experience in insurance or asset management, with familiarity with investment instruments and accounting processes. Experience with SimCorp Dimension or comparable investment accounting platforms such as Blackrock Aladdin, Eagle STAR, State Street Alpha, Charles River, Princeton Financial System, Clearwater, FIS, SS&C Advent Geneva Data management and regulatory reporting capabilities, and multi-basis (statutory, GAAP, and TAX) accounting. Experience working with data and investment product teams on data quality, reference data, and data governance. Familiarity with Agile tools (e.g., Jira, Confluence), reporting automation, and emerging technologies, including AI-enabled solutions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618520496671", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618520599876, "name": "Director, Data Science", "posting_name": "Director, Data Science", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Data Science", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1793727420, "t_create": 1793634420, "ats_job_id": "262456", "display_job_id": "2026-262456", "type": "ATS", "id_locale": "2026-262456-en", "job_description": "Lead, coach, and develop a team of data science managers, data scientists, and AI/ML engineers responsible for the Information and Intelligence capability domain. Own the roadmap for reusable \u201cfind / extract / connect\u201d capabilities \u2014 data extraction, external research and enrichment, knowledge/guidelines/forms intelligence, evidence intelligence, and comparable (\u201clike-me\u201d) intelligence \u2014 and prioritize investment for maximum reuse and value. Direct the design, development, deployment, and ongoing improvement of production-grade AI/ML solutions that prove out in a lead segment and are engineered from the start to extend to other segments and geographies. Partner with the leaders of AI Products and Decisioning and AI Product Strategy and Scale to sequence shared/dependent capabilities (e.g., hazard/concern flagging, rules and guideline intelligence, information sufficiency detection) and to hand off mature capabilities for adoption. Partner with segment data science teams and Technology leadership to translate lighthouse solutions into enterprise-scale platforms, defining the architecture that gives AI systems governed access to relevant data and context. Establish common evaluation, quality, and feedback standards for the capabilities the team owns, and ensure outputs are traceable to source and auditable. Set engineering standards across the team's AI development lifecycle \u2014 testing, version control, CI/CD, observability, documentation, and MLOps/AIOps. Manage team structure, staffing, and workload across onshore, near-shore, and partner resources, including hiring and performance management for direct reports who themselves manage teams. Communicate roadmap, trade-offs, progress, and recommendations clearly to technical teams, business stakeholders, and senior leadership. Demonstrated experience leading data science or AI/ML teams, including direct people-management of managers and/or senior individual contributors. Hands-on background developing and deploying production-grade AI or ML solutions, with advanced knowledge of AI/ML methods, engineering practices, and tools. Experience owning a product or capability roadmap and making prioritization trade-offs across multiple stakeholder groups. Strong communication, collaboration, and stakeholder-management skills, including experience partnering with peer leaders, engineering/architecture teams, and business sponsors. Relevant insurance or regulated-industry experience is preferred. Competencies typically acquired through a Ph.D. degree (in Computer Science, Statistics, Mathematics, Economics, Actuarial Science, or other scientific field of study) and a minimum of 6 years of relevant experience \u2014 including people leadership \u2014 a Master's degree (scientific field of study) and a minimum of 9 years of relevant experience, or a Bachelor's degree (scientific field of study) and a minimum of 11 years of relevant experience. Prior formal management of managers, or experience leading a team of team leads, within data science, AI/ML, or engineering. Experience leading AI products in a product-oriented delivery model, from opportunity identification through scaled adoption. Experience with GenAI, LLM-based applications, retrieval-augmented generation, agentic workflows, or AI-assisted document/data extraction at production scale. Experience building reusable AI platforms, shared services, or enterprise-scale capabilities that were successfully extended across multiple business lines or geographies. Success driving AI transformation and adoption in large, complex, or global organizations. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. 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 the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618520599876", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518120807, "name": "Associate, Tax-Driven Investments - Liberty Mutual Investments", "posting_name": "Associate, Tax-Driven Investments - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": null, "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1787245380, "t_create": 1782863400, "ats_job_id": "76707", "display_job_id": "2026-76707", "type": "ATS", "id_locale": "2026-76707-en", "job_description": "Investment Diligence: Lead all phases of the investment lifecycle across TTC (ITC/PTC), RTE (Traditional TE, Hybrid/T-Flip TE), and LIHTC \u2014 including independent financial modeling, technical and tax diligence, risk assessment, and Investment Committee memo preparation. Transaction Structuring & Execution: Own end-to-end structuring and negotiation of TTC, RTE, and LIHTC transactions. Coordinate with Corporate Tax, LMI Legal, Risk, and Accounting to drive transactions from term sheet through close, serving as the primary deal point of contact for counterparty counsel and internal stakeholders. Portfolio Management: Own active management across all closed TTC, RTE, and LIHTC positions across their full lifecycle, serving as LMI's primary point of contact with seller counterparties, syndicators and third-party partners. Counterparty Relationships & Origination: Own and deepen relationships with renewable energy developers, syndicators and developers, and other counterparties across all three sub-strategies \u2014 serving as a primary point of contact for ongoing deal flow and market intelligence. Leverage existing market relationships to contribute to pipeline origination and identify opportunities that align with LMI's tax capacity, return objectives, and social impact priorities. Enterprise Collaboration & Citizenship: Operate with an owner's mindset \u2014 aligning TDI workstreams with LMI's broader organizational goals, speaking up with innovative ideas, and seeking opportunities to step up beyond role. Collaborate proactively with LMG Tax, Corporate Treasury, Transaction Services, and other LMI investment teams, tailoring communication effectively for each audience. Contribute to a high-performance team culture through candid feedback, intellectual curiosity, and a willingness to develop and share knowledge with junior team members. Bachelor's Degree from a leading institution (Finance, Economics, Accounting, or Engineering preferred) 4 - 7 years' experience in tax equity, renewable energy project finance, LIHTC investing, or a closely adjacent field (e.g., energy-focused investment banking, tax credit advisory, or project finance lending) -with direct, hands-on involvement in structuring and closing transactions, not solely analytical support Excellent quantitative and qualitative analytical skills (including financial modeling and transaction document review), decision making ability, and communication skills, both verbal and written Working knowledge of ITC and/or PTC mechanics required, including partnership flip structures, placed-in-service timelines, and recapture risk under IRC \u00a750; familiarity with transferable tax credit transactions under IRA \u00a76418 (transfer agreements, tax credit insurance, cost certification) strongly preferred Exposure to LIHTC structures (federal 4% or 9%, or state equivalent) preferred \u2014 including partnership structure, credit delivery mechanics, syndicator relationships, extended-use obligations, and K-1 reporting; direct experience underwriting or closing LIHTC transactions is a meaningful differentiator Strong transaction management skills, with the demonstrated ability to drive deals to close across multiple concurrent workstreams while coordinating internal (Corporate Tax, Legal, Treasury, Risk) and external (sponsor counsel, syndicators, marketplace platforms) stakeholders Demonstrated comfort leveraging AI tools to enhance day-to-day investment workflows with a genuine interest in identifying and adopting emerging applications that improve team productivity and analytical output. High comfort level working in Excel and PowerPoint; ability to produce detail-oriented, accurate and consistent work product Comfortable making investment recommendations to and fielding questions from an Investment Committee Self-motivated and intellectually curious, with an owner's mindset \u2014 thriving in a lean, high-conviction team environment, balancing speed and execution across competing priorities, and demonstrating genuine interest in building institutional infrastructure and expanding knowledge at the frontier of tax credit markets Demonstrates strong AI literacy and uses AI-enabled tools to enhance speed, accuracy, and insight generation while maintaining sound judgment and compliance with governance standards", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518120807", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618519924325, "name": "Manager, Engineering - Investments Technology", "posting_name": "Manager, Engineering - Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1792508220, "t_create": 1790198520, "ats_job_id": "261983", "display_job_id": "2026-261983", "type": "ATS", "id_locale": "2026-261983-en", "job_description": "Managing, coaching, and developing a team of engineers; fostering a culture of continuous learning, quality, and accountability. Driving high-performing engineering practices across the team, with AI and agentic tool adoption as a core enabler. Owning performance management, professional development, and team health across both full-time and contract resources Engaging actively in hiring and talent development as the team evolves. Background in financial services, asset management, or a related domain is strongly preferred; familiarity with financial and accounting data in a regulated environment is a meaningful advantage. 7+ years of experience in a relevant engineering discipline, including experience leading or working closely with data engineering teams across integration, pipeline, or analytics delivery. 3+ years in an engineering leadership or management role. Familiarity with agile delivery practices and experience managing delivery within an agile team structure. Experience working within or alongside large enterprise platforms, with an understanding of integrations, reporting, and analytics solutions. Hands-on experience with AI-assisted development tools and a working understanding of how AI is reshaping engineering practices and solution delivery. Experience managing mixed teams of full-time and contract resources. Strong communication skills and comfort engaging directly with business stakeholders. Bachelor's or Master's degree in a technical or business discipline, or equivalent experience. Building and maintaining direct relationships with business stakeholders in the Finance, Accounting, and Operations domain.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519924325", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618520290253, "name": "Director, Data Science - Rollout acceleration AI", "posting_name": "Director, Data Science - Rollout acceleration AI", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Data Science", "business_unit": "3047-USRM-Data Science-US", "t_update": 1793638320, "t_create": 1792103640, "ats_job_id": "262249", "display_job_id": "2026-262249", "type": "ATS", "id_locale": "2026-262249-en", "job_description": "Partner with your line of business's pricing, delivery, and technology teams to find where AI can speed up pricing program rollout. Build state-of-the-art evaluations for AI and agentic applications. Define accuracy metrics and ground truth, generate statistical tests and edge cases, and design experiments, including tests in production. Measure the value and risk of AI applications, including effort reduced, errors avoided, and time to market gained. Bring pricing expertise and product sense to AI projects, translating business needs into requirements and evaluation criteria. Prototype and build evaluation tooling and, over time, AI applications that accelerate rollout. Experience evaluating generative AI or agentic systems is a plus. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. 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/618520290253", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618520307051, "name": "Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team", "posting_name": "Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Columbus, Ohio, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3047-USRM-Data Science-US", "t_update": 1793368860, "t_create": 1792182540, "ats_job_id": "262268", "display_job_id": "2026-262268", "type": "ATS", "id_locale": "2026-262268-en", "job_description": "Partner closely with leaders in Claims and other delivery partners (Insights & Solutions, Technology, and Enterprise Data) to identify AI/ML opportunities and create a delivery roadmap that prioritizes the most impactful work. Design, build, and iterate on Machine Learning and Generative & Agentic AI capabilities which deliver real business value for adjusters in Medical and Workers' Compensation claims. Collaborate with our partner teams to architect & deliver end-to-end intelligent systems integrating machine learning, LLMs, RAG pipelines, agentic workflows, and structured/unstructured claims data to solve real business problems. Apply strong software engineering and ML/AI Ops practices, including object-oriented Python, modular design, test-driven development, and model monitoring. Define and implement evaluation and measurement strategies, including impact & acceptance KPIs, human-in-the-loop review, and automated quality metrics. Collaborate with Engineers, Product, Architecture, UX, and Claims stakeholders to translate ambiguous problems into working solutions. Provide technical mentorship and thought leadership through design reviews and collaboration. Expert-level machine learning & statistical modeling practitioner with track record for delivering measurable business value. Deep knowledge of insurance claims processes, especially in Workers' Compensation or other medical-driven lines of business (e.g., Medical & Casualty, Disability). Experienced in Python development with object-oriented design and engineering best practices. Demonstrated AI/ML Ops experience including model lifecycle management, experimentation, evaluation, monitoring, and operational readiness in a cloud-native enterprise environment. Demonstrated ability to measure AI/ML and GenAI system quality and business impact using quantitative and qualitative approaches. Experience partnering with technical and business stakeholders in complex, enterprise environments. Experience delivering ML and AI products through Python API and Application frameworks like FastAPI and Streamlit (or equivalent) Demonstrated experience delivering business value with Generative & Agentic AI in an enterprise setting Building, deploying, and maintaining AI products using leading frontier models from providers like OpenAI, Anthropic, and Google Experience building generative & agentic AI solutions using frameworks like LlamaIndex, LangChain, LangGraph, or equivalent Exposure to CrewAI, AgentCore, or other agentic orchestration frameworks Familiarity with vector databases and embedding-based retrieval systems Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset. 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, executives and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Deep 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 5 years of relevant experience, a Master`s degree (scientific field of study) and 8 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and 12 years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618520307051", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618519469858, "name": "Catastrophe Modeling & GIS Research Co-op (January - June 2027)", "posting_name": "Catastrophe Modeling & GIS Research Co-op (January - June 2027)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Enterprise Finance-US", "t_update": 1791819360, "t_create": 1787781000, "ats_job_id": "204612", "display_job_id": "2026-204612", "type": "ATS", "id_locale": "2026-204612-en", "job_description": "As a Co-op within our Catastrophe R&D group, you'll be working closely with senior scientists and engineers on various projects helping with tasks to: Perform data mining and in-depth reviews of research literature, data, and models. Collect, analyze and visualize data, using geospatial, statistical as well as other analytical methods. Develop and maintain interactive maps and spatial databases for natural disaster risk assessment (floods, hurricanes, wildfires, earthquakes, etc.). What You've Got You must be available to work full-time from January - June 2027. You are an undergraduate or graduate student in Geography, GIS, Environmental Science, Engineering working towards a degree with a strong academic record and a cumulative 3.0 GPA preferred. 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\u2011OPT who will require future sponsorship, are not eligible to apply. You have course work or experience in geospatial analytics and working with GIS applications (e.g., ArcMap, ArcGIS Pro, or QGIS). 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