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Machine Learning Science Intern- Masters- 2026- Austin, San Jose United States- Texas- Austin Administration Full-Time Intern 01/08/2026 ID # R-98584 Share this position Already Applied? View Your Account Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Note: Applications will remain live for at least 5 business days when the role is posted. The post will be removed when application targets are met. Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. By joining the Expedia Group 2026 Global Summer Internship Program as a Machine Learning Science Intern you'll fully integrate into our inclusive community and gain a well-rounded experience of life at Expedia Group. Our global program offers an exciting opportunity to contribute to business-critical projects by developing your skills through tailored learning and training, providing ongoing support, and offering insightful intern-specific events to build knowledge and community. We're building a more open world. Join us. Internship Program Highlights: Onboarding: Connect with your cohort, receive support, and set up for success in your first week Intern Bootcamp: Role-specific technical and professional skills learning, both in-person and virtual, delivered in your first week to help you get set up for success Meaningful work and projects: Interns join a variety of Expedia Group teams and directly contribute to business workstreams and priorities; at the conclusion of the internship interns present their work to team members and senior leadership Learning Series: Interactive workshops delivered by our Learning team to build professional & soft skills, and support development, including topics such as personal branding and presentation skills Leadership Series: Exclusive intern-only events with our Travel Leadership Team leaders to learn about their career journeys, hear their views on industry and company trends and ask questions! Social events: Regular fun events organized for each regional cohort so you can get to know others, enjoy the Expedia Group culture, and enjoy some downtime! Mentorship: Mentors are assigned to each individual intern to support your development and learning throughout the program and are also a great way to build your understanding and network at EG. Support: Coaching and advice, provided by managers, team navigators (buddies) and a specific point of contact per region from Emerging Talent & Careers. What You'll do: Travel is so much more than simply reaching your destination. Along the way you will make an immediate impact on reimagining the way people search for travel with our awesome team by inventing brand-new techniques to power global travel for everyone, everywhere. From building pipelines and prototyping new ML models with A/B testing, to applying new techniques to services that run tens of thousands of requests per second, there is no shortage of opportunities for technical innovation at Expedia Group - the sky's the limit! Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests Applying Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external) Conducting feature engineering and modifying existing models/techniques to suit business needs Developing domain expertise in fraud & risk to understand how to detect risky transactions Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience Framing business problems as data science problems with a concrete set of tasks Apply your domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills to your work Who You Are: We know that many potential candidates can be hesitant to apply for a job if they aren't sure that they meet all the criteria shared. If you meet all the criteria labelled 'Must' and are interested in this role, we encourage you to apply! Must be available to commit to the full program dates: U.S.A: Cohort 1: May 18 - July 24, 2026 or Cohort 2: June 22- August 28, 2026 Must be graduating with an Master's degree in a technical subject (e.g. Master's degree in a technical, or analytical-related, subject such as Computer Science with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science, Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree) between December 2026 and July 2027 Must be willing to relocate to city of job location if outside commuting distance Must have Python and/or Scala, SQL knowledge Must have no more than 2 years' professional experience Must be graduating from university in the same country of internship location Helpful to have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java Helpful to have understanding of distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc. Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people) Helpful to have Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge What We Offer: Successful candidates will receive a competitive compensation package including the benefits below and others: The total cash range for this position in Austin is $52 per hour. The total cash range for this position in San Jose is $55 per hour. Pay for this role will vary based on multiple factors, including location and degree level. Hybrid Work Policy Health care benefits: medical, dental & vision options Travel discounts Opportunity to receive a full-time permanent offer after graduation and 12 months of customized support from our Emerging Talent & Careers team Community support through Expedia Group's Inclusion Business Groups Relocation support (if eligible) Next Steps: Apply now! Our dedicated emerging talent & careers team will review your application and suitable applicants will be encouraged to complete an immersive strength based online assessment as the first step. Depending on the role profile you are applying to, selected candidates may also be asked to take a skills-based screening assessment. Candidates who are invited to a final round interview will have the opportunity to meet with members of our team through two virtual interviews covering both technical and behavioral skills related to the position. These interviews will also be a chance for you to learn more about us, too! Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Location: 4910 Tiedeman Road, Brooklyn Ohio ABOUT THE JOB (JOB BRIEF) Reporting to the Director of Financial Crimes Modeling & Analytics that reports to the Deputy Chief AML Officer, the Senior Data Science Manager is primarily responsible for leading a quantitative team in support of financial crime modeling and analytics. This role must establish priorities for the team, assign and define the work to the right resources, and understand the strengths and opportunities of the team to ensure the team meets and exceeds expectations. This role is responsible for owning modeling practices, methods, and techniques as well as for influencing data strategy with a focus on leveraging both current and emerging technologies and applications. The Senior Data Science Manager acts as a leader, strategic advisor and credible thought partner to senior / executive level business partners. This position is also responsible for managing the integration of activities within and across teams as well as effectively manage, coach, develop, and guide a team of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message. ESSENTIAL JOB FUNCTIONS Oversee a small quantitative team (2-4 direct reports) in developing models and conducting analytics to address financial crime compliance needs in AML/BSA/OFAC Research, compile and evaluate large sets of data to assess quality and determine suitability for model building Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives Proactively coach and develop the team on building technical skills and business knowledge; promote the team and their capabilities to stakeholders Effectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational impact Provide strategic consultation and thought leadership to senior / executive level business partners REQUIRED QUALIFICATIONS Master's degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics Demonstrated proficiency in both traditional modeling practices and Machine Learning (ML)/Artificial Intelligence (AI) solutions, with preference given to candidates possessing experience and expertise in Generative AI (GenAI). Hands-on work experience with statistical coding in SAS and/or Python Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing In-depth understanding of financial crime regulatory requirements, technology, and data analysis best practices Demonstrated direct management experience Excellent verbal, written and visual communication skills; ability to define and communicate key risk metrics, dashboards and analytics for senior management and executive reporting; translate technical observations to a non-technical audience A credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impact Remote work is supported, but relocation to Cleveland, OH or Buffalo, NY is preferred. DATA LITERACY Ability to: Influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategy Lead discussions about pros/cons of applications with senior leadership Monitor industry trends and direction of data analysis technologies TECHNOLOGY & TECHNIQUES Advanced Microsoft Office Suite SQL/NoSQL Relationship data structure Selecting and retrieving data including unstructured data retrieval, archival, and ETL Databases Advanced Python/R/SAS: Databases Efficient coding Can build strong code controls and translate code into high-level commentary Understanding of and ability to leverage: Cloud-based computing Distributed computing MODEL BUILDING & MAINTENANCE Ability to: Establish standards and best practices; forecast future modeling tools / techniques Identify, employ, and evangelize emerging techniques from industry / research Coach others on data modeling methods / techniques Facilitate sessions for complex data models Assess and understand risks; contingency plans Communicate observations to senior executives Translate technical observations to a non-technical audience COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 02/15/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. #LI-Remote