On Location

Athletics Travel Manager

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The Athletics Travel Manager at the University of Oklahoma, working for Anthony Travel (a division of On Location), will manage and execute all aspects of collegiate team and individual athletic travel. This includes arranging group and individual airfare, hotel accommodations, charter buses, and car rentals.  The role requires providing emergency and after-hours support, obtaining travel approvals, meeting ticketing deadlines, and maintaining professional client relationships.  Strong communication, organizational skills, and proficiency in GDS systems (like Sabre) are essential.

Digital Marketing Coordinator – FIFA World Cup 26™

<div data-automation-id="jobPostingDescription" class="css-zokh5w">Who We Are:On Location is a global leader in premium experiential hospitality, offering ticketing, curated guest experiences, live event production and travel management across sports, entertainment, fashion and culture. On Location provides unrivaled access for corporate clients and fans looking for official, immersive experiences at marquee events, including the Olympic and Paralympic Games, FIFA World Cup 2026, Super Bowl, NCAA Final Four, and more. An official partner and/or service provider to over 150 iconic rights holders, such as the IOC (the Milano Cortina 2026 and Los Angeles 2028 Olympic Games), FIFA, NFL, NCAA, UFC, WWE, and PGA of America, the company also owns and operates a number of its own unique experiences. On Location is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company.The Role and What You'll Do:The Account Manager serves the athletic department for the University of Oklahoma, overseeing the complex management and execution of collegiate team and administrative travel.&nbsp; The position is based on-site at&nbsp;the University of Oklahoma&nbsp;but is a representative of Anthony Travel, a division of On Location.&nbsp;Arrange all aspects of athletic team travel, including group air, hotel block, and charter bus.<ul><li>Arrange all aspects of individual athletic travel, including GDS air, hotel, and car.</li><li>Provide emergency and after-hours service to the athletics department.</li><li>Obtain travel approvals and provide trip planners.</li><li>Meet ticketing deadlines.</li><li>Maintain a professional working relationship with the clients while representing the Company.</li></ul>We'd Love If You Also Have These:&nbsp;<ul><li>Knowledge of Sabre or similar GDS.</li><li>Knowledge and experience in athletics and/or athletics travel.</li><li>Group booking experience and knowledge.</li><li>Car and hotel booking experience.</li><li>Knowledge of general office PC-based programs, including Microsoft Office 365.</li><li>Strong judgment and decision-making skills.</li><li>Exceptional communication skills, both written and verbal.</li><li>Ability to produce accurate work under the stress of and meet ticketing deadlines.</li><li>Must be able to come to work promptly and regularly.</li></ul>Don't meet every single requirement? We are dedicated to building a diverse, inclusive, authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.&nbsp;</div>

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Guardian

2025 Summer Internship (IT - Data & AI)

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The job involves applying new logics and approaches to solve challenging business problems using data and analytic solutions. Responsibilities include data wrangling, exploratory data analysis, building models, testing, and developing queries. The role requires communicating findings and insights to stakeholders, implementing new methodologies, and tracking KPIs. The candidate will also work on data science tasks, including building machine learning models, utilizing python packages, and developing scripts. Additional responsibilities include collaborating with data scientists and analysts to understand data requirements and translate them into scalable data pipeline solutions. The candidate will also be involved in extracting text data, building machine learning pipelines, and adapting machine learning methods.

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being — mind, body, and wallet.

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<h2>Job Description:</h2>You are passionate about cutting-edge technology and keen on applying new logics and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy collaborating with other data analysts to provide actionable insights from multiple data assets for Guardian.Key Responsibilities Data Analytics<ul><li>Data wrangling/data matching to explore a variety of data sources, gain data expertise, perform summary analysis and prepare visualization using various BI tools like Tableau, Quick Sight etc.</li><li>Assist in exploratory data analysis and building models.</li><li>Conduct testing and perform data analysis to improve model accuracy and efficiency.</li><li>Develop queries for data processing, data modelling, evaluation, and result analysis.</li><li>Communicate findings, insights, and results clearly to team members and stakeholders.</li><li>Implement new statistical or other methodologies as needed for specific data analysis to identify trends, patterns and provide actionable insights.</li><li>Track and measure key performance indicators (KPIs) to assess business performance.</li><li>Propose innovative ways to look at problems through using data mining, performance tuning / optimization and data visualization.</li></ul>Data Science<ul><li>Data wrangling/data matching to explore a variety of data sources, gain data expertise, perform summary analysis and prepare AI modeling datasets</li><li>Assist in exploratory data analysis and building machine learning models.</li><li>Utilize several python packages for testing the overall performance of the AI model.</li><li>Conduct experiments and perform data analysis to improve model accuracy and efficiency.</li><li>Develop scripts for data processing, model training, evaluation, and result analysis.</li><li>Stay updated with the latest research and trends, data science and the specific work area.</li><li>Communicate findings, insights, and results clearly to team members and stakeholders.</li><li>Implement new statistical or other mathematical methodologies as needed for specific models or analysis.</li><li>Propose innovative ways to look at problems through using data mining and data visualization</li></ul>Data Engineering<ul><li>Collaborate with data scientists and Data Analysts to understand data requirements and translate them into scalable, high performant data pipeline solutions. Design, implement, validate, and prepare the datasets for AI model.</li><li>Support data discovery &amp; data preparation for model development. Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into curated &amp; certified data assets to be used for ML and BI use cases.</li><li>Extract text data from variety of sources like documents (Word, PDFs, Text Files, JSON etc.), logs, text notes stored in databases, using Web scrapping method from web pages to support development of NLP / LLM solutions.</li><li>Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference.</li><li>Assist in developing and maintaining robust tools, frameworks, and libraries that standardize and streamline the data &amp; machine learning lifecycle.</li><li>Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)</li><li>Have the opportunity to work and learn from encouraging leaders, mentors and team members across the organization who will help mentor you as you develop your professional career</li><li>Learn about Guardian’s purpose, values, how we work and our suite of product and service offerings</li><li>Build a network of colleagues and have a sense of community with other interns and other parts of the business</li><li>Think broadly and ask questions about data, facts and other information</li></ul><h2></h2><h2>Location: </h2>This position can be based in any of the following locations:Chennai, GurgaonCurrent Guardian Colleagues: Please apply through the internal Jobs Hub in Workday

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