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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Collaborate with business stakeholders to deliver data products such as feature pipelines, predictive models, dashboards, and datasets derived from image data. Develop and maintain scalable data pipelines and model workflows, applying MLOps best practices for reproducibility, deployment, and monitoring. Research and prototype new methodologies for training, evaluating, and improving deep learning models, particularly for computer vision. Integrate model outputs into business applications and partner with engineering teams to operationalize models in production environments. Contribute to the design, construction, and validation of large and complex datasets in collaboration with cross-functional science teams. Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders. Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Demonstrated expertise in deep learning with an emphasis on computer vision. Strong foundation in machine learning, statistics, experimental design, and model evaluation metrics. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow). Proficiency in deep learning frameworks such as PyTorch (preferred) or TensorFlow, with experience in model design, training, and deployment. Experience building and managing pipelines with workflow orchestration tools (e.g., Airflow, Luigi). Experience with Docker and CI/CD pipelines. Experience with container orchestration systems such as Kubernetes. Understanding of GPU acceleration, distributed training, and model optimization techniques (e.g., mixed precision, pruning, quantization). Experience with multimodal learning, including vision-language models and cross-modal representation learning. Track record of advancing research projects from ideation to implementation. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. 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 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513329851", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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": 1757076840, "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. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618506225387", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618506221624, "name": "Solaria Labs Data Science Co-op (Jan - July 2026)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1758718560, "t_create": 1756211100, "ats_job_id": "71949", "display_job_id": "2025-71949", "type": "ATS", "id_locale": "2025-71949-en", "job_description": "Collaborate within an innovative lab environment--balancing focused coding sessions with active participation in ideation and product design. Explore and experiment with emerging AI and Machine Learning technologies, including generative AI, NLP/NLU, computer vision, and trends in insuretech, fintech, and the sharing economy. 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. 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. Working towards a Bachelor's, Master's or PhD Degree in Data Science, Engineering, Computer Science, Mathematics, Statistics or other relevant field Strong technical, analytical, communication and organizational skills A strong academic record with a cumulative 3.0 GPA preferred Must be able to work full-time from January - June 2026", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618506221624", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618506212326, "name": "Assistant Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1758115680, "t_create": 1756167420, "ats_job_id": "71946", "display_job_id": "2025-71946", "type": "ATS", "id_locale": "2025-71946-en", "job_description": "Build complex loss based and competitiveness models using various techniques including GLMs, machine learning, and causal inference techniques. Establish frameworks outlining decision-making processes to drive the identification and evaluation of tactical pricing opportunities. Support the implementation of tactical pricing changes, ensuring robust consultation and collaboration across the org regarding state-specific opportunities. Engage with stakeholders to discuss state-specific opportunities and triage actions. Generate data-driven answers to open-ended strategic questions related to tactical pricing opportunities and present out on recommendations to leadership. Regularly engage with the data science community and lead cross functional working groups. Actuarial experience conducting analysis on insurance data, such as premium on-leveling, loss trending, loss ratio analysis, etc. is preferred. Using SQL for wrangling structured data & curating analysis-ready data. Using Python for analyzing data, creating data visualizations, & conducting statistical analysis/modeling. Creating, testing, and deploying machine learning models, including GBMs, and experience using various tools to explain them. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. 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 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618506212326", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513222209, "name": "Principal Data Solutions Analyst - Data Governance", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1758628920, "t_create": 1757606160, "ats_job_id": "72194", "display_job_id": "2025-72194", "type": "ATS", "id_locale": "2025-72194-en", "job_description": "Portfolio leadership: Serve as the lead analyst for the USRM Data Governance portfolio; act as a senior technical resource and mentor to the team. Prototype-to-production: Partner with product owners, data engineering and business stakeholders to assess prototype shelf life, prioritize hardening, and scale solutions for right-fitted supportability, quality, and observability. Program enablement: Provide analytical guidance, insights, and dashboards in support of strategic program implementation and ongoing operations. Self-service data products: Build, maintain, and scale data solutions and self-service reporting (e.g., self-serve information pages, usage statistics, observability, compliance). Audit and compliance: Manage quarterly security audits; ensure solutions meet data quality, metadata, lineage, and compliance requirements. Access governance: Triage and approve access requests for human and non-human identities; uphold data security and access policy standards. Metrics and observability: Define business-impactful metrics and ensure visibility into platform and product health, usage, and compliance. Agile delivery and partnership: Work with stakeholders to prioritize based on customer value; collaborate with the product teams to productionize and support solutions long term. Technical leadership: Design and maintain high-complexity data solutions; conduct proof-of-concepts, iterative testing, and viability assessments. 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 5-7 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) 5-7 years experience as developer with top quadrant Business Intelligence tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513222209", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618505375104, "name": "Senior Data Engineer \u2013 Cloud Data Warehousing", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1757937840, "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. 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/618505375104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504973163, "name": "Enterprise Data Engagement & Communications Leader", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "New York, New York, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1758550260, "t_create": 1750089600, "ats_job_id": "70757", "display_job_id": "2025-70757", "type": "ATS", "id_locale": "2025-70757-en", "job_description": "Project & Portfolio Execution: Lead and coordinate execution across multiple strategic initiatives including Town Halls, upskilling programs, community engagement activities and talent practices. Act as a central point of accountability to ensure timely delivery and alignment with team priorities. Communications Enablement: Maintain key communications channels such as newsletters, scorecards, and internal sites (myLiberty). Manage a communication calendar and toolbox to drive alignment of portfolio messaging across the ED&DS team. Support executive communications preparation as needed, focusing on clear and timely messaging aligned to business needs. Community Engagement: Help build a vibrant and connected data community by coordinating and scaling events such as Town Halls, managing collaboration platforms like Teams, and executing upskilling initiatives. Continuously evaluate satisfaction and engagement drivers (through surveys, stakeholder feedback, adoption measures, etc.) to ensure our efforts deliver meaningful impact and strengthen community bonds. Principal Business Analyst I: $108,000 - $153,000. Annual FTO days (Flexible Time Off): 20 Ability to navigate ambiguity and adapt priorities smoothly in a dynamic environment. Experience working in or closely with data and data science personas (e.g., Data Strategist, Data Steward, Data Product Owner, Data Engineer, etc.), with a solid understanding of how they work and what they need to be successful. Strong written and oral communication skills required Experience in communicating recommendations to senior business leaders preferred BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred 5-7+ years of experience working as a data persona or closely partnering with data personas (e.g., data strategist, data product owner, data solutionist, data steward, data engineer, data scientist, etc.) including upskilling and communications experience in this space Ability to work EST", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504973163", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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": 618505002961, "name": "Principal Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, 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": 1758737400, "t_create": 1750184040, "ats_job_id": "70798", "display_job_id": "2025-70798", "type": "ATS", "id_locale": "2025-70798-en", "job_description": "Builds and designs a complex master data architecture that improve performance, scalability, governance, and quality of data. Makes recommendations for how to improve systems and data and drives those recommendations forward. Identifies business process improvements that address technology gaps. Consult on complex technology enabled recommendations to address gaps within business processes. Proactively identifies potential impact on business strategy. Documents existing processes, organizational structures, architectures and external systems. Consults on designing and developing of programs and tools to support the master data that drives customer experience across the organization. Supports the Solutions Engineer in implementation. Support can include but is not limited to; cutover plans, post-implementation support, any issues/defects, transition planning, and knowledge sharing efforts. Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Generally 8+ years of professional experience 5+ years of Master Data Management experience is preferred. In-depth knowledge of IT concepts, strategies and methodologies Proven experience designing solutions using cloud computing platforms & services (AWS, Lambda, Kubernetes) Working knowledge of data solutions such as Postgres and Mongo Atlas. Proven experience designing & building APIs (REST, SOAP, API Gateway, SpringBoot, etc.) Experience in agile software delivery (Scrum, Kanban, XP, etc.) Highly proficient in software engineering tools such as GIT Hub and Jira. Versed in diverse technologies and technical architecture principles and concepts. Extensive knowledge in layered systems architectures solutions and designs and shared software concepts. Knowledge of Application Monitoring tools like DataDog Strong 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. In-depth knowledge of business operations, goals and strategies; in-depth understanding of global business and technology trends and the financial services industry Advanced oral and written communication skills; strong presentation skills Ability to effectively collaborate with all levels of the organization. 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ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} 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only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}