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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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. 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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": 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": 1793037060, "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": 618519733018, "name": "Solaria Labs Data Science Co-op (January - June 2027)", "posting_name": "Solaria Labs Data Science Co-op (January - June 2027)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1789474560, "t_create": 1789050360, "ats_job_id": "261811", "display_job_id": "2026-261811", "type": "ATS", "id_locale": "2026-261811-en", "job_description": "Collaborate within an innovative lab environment\u2014balancing focused coding sessions with active participation in ideation and product design. 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": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519159490", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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. Retrieval-augmented generation, natural-language data access, prompt design, or agentic workflow concepts; experience introducing AI capability within a governed enterprise environment.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618519798623", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618520324874, "name": "Technology Strategy & Transformation Internship (Summer 2027)", "posting_name": "Technology Strategy & Transformation Internship (Summer 2027)", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1792416120, "t_create": 1792414860, "ats_job_id": "262273", "display_job_id": "2026-262273", "type": "ATS", "id_locale": "2026-262273-en", "job_description": "As a Technology Strategy & Transformation Intern, you will contribute to real projects that shape how GRS builds its digital capabilities, understands its costs, and applies AI to the way we work. You will work alongside experienced professionals across technology, product, and strategy while gaining hands-on experience and visibility with senior leaders in a fast-paced, collaborative environment. Your work will focus on the following areas: Support current team priorities: Work alongside the Technology Strategy & Transformation (S&T) team and partners across GRS and Technology on active efforts to improve visibility into costs and operations. You'll help gather and organize data, document how key processes work today, and contribute analysis on where closer alignment could reduce duplication and create efficiencies. Find and build improvements using AI: Get to know how S&T works, including what we deliver, who we deliver it for and the outcomes we're accountable for. Then identify where our deliverables or ways of working could be better, and use AI and other tools to build and test a practical solution. By the end of the internship, you'll share what you built, what you learned and what you'd recommend next. What You've Got You are an undergraduate student working toward a Bachelor's degree in Business, Finance, Economics, Communications, Data Science, Statistics, Computer Science, Information Systems, Mathematics, or a related field with a strong academic record; cumulative 3.0 GPA preferred. You have 0-2 years of professional experience. Insurance experience is not required. You are authorized to work permanently in the United States. Experience or interest in areas such as research, data analysis, strategy, process improvement, technology, or AI is a plus. You are curious, eager to learn, and comfortable taking on new challenges. You show initiative, think creatively, and are open to new ideas. 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. You have a working knowledge of Microsoft Word, Excel, PowerPoint, and Outlook.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618520324874", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618519042512, "name": "Senior Actuarial Analyst, Personal Lines Auto State Internal Indications", "posting_name": "Senior Actuarial Analyst, 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": 1792446420, "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": 618517245830, "name": "Senior Quantitative Analyst - Liberty Mutual Investments", "posting_name": "Senior Quantitative Analyst - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1792113840, "t_create": 1778875140, "ats_job_id": "76096", "display_job_id": "2026-76096", "type": "ATS", "id_locale": "2026-76096-en", "job_description": "Quantitative Model Development Systematic Alpha Research Design and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. 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 ( Masters degree preferred, CFA a plus. 3+ years of experience in portfolio analysis or investment management, with a strong preference for systematic fixed-income experience. 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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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