Tech Program Intern III (Data Science) Requisition Id: 376946 Business Unit: Corporate Location: Boston, MA, US, 02111 **What you’ll need to succeed as a Tech Program Intern III (Data Science** **) at XPO** **:** Minimum qualifications: + High school diploma or equivalent and currently pursuing a bachelor’s degree + 2 or more years of relevant undergraduate coursework + Experience with Microsoft Office (Word, Excel, PowerPoint and Outlook) + Strong computer skills and familiarity with administrative processes + Interest/openness to learn/explore about Less-Than-Truckload business and usage of data science and AI methods/tools to support complex strategic/tactical/operational business decisions + Good organizational skills with the ability to multitask + Great verbal and written communication skills Preferred qualifications: + Background or education in a in a STEM-based field (ie. Data Science, Computer Science, Operations Research, Economics, Applied Math, Statistics, etc.) + Good analytical and problem-solving skills + Understanding of Database concepts + Basic knowledge of any data visualization tools + Demonstrated ability analyzing technical and non-technical problems by developing research questions, implementing appropriate analytical methods, and presenting results + Practical experience with scripting/programming languages such as SQL/Python/Java on development platforms like PyCharm/IntelliJ; code management services such as Git; Agile Software Development practices such as Jira/Confluence; commercial optimization software such as Cplex/Gurobi/Xpress. + Excellent verbal and written communication skills; able to present clean, organized and thorough information and data appropriate for intended audience + Knowledge in supporting decision making through mathematical modeling and performance measuring, implementation, operationalization and scalability of scientific techniques/advanced algorithms + Solid organizational and multitasking skills with the ability to set priorities and meet deadlines + Ability to be open-minded and receptive to feedback in an intellectually rigorous environment + Strong analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracy + Energetic work style with a strong drive to succeed **About the Tech Program Intern III (Data Science) job** What you’ll do on a typical day: + Participate in the development and implementation of basic machine learning models under supervision. + Collaborate with team members to integrate machine learning models and Generative AI technologies into business applications. + Gain understanding and experience with various functions of the transportation and logistics industry + Participate in projects in the areas of logistics, network design, transportation and optimization + Work with business process owners to identify and scope areas of opportunity + Build strong relationships and collaborations with senior leadership to support company goals + Develop hands-on experience with continuous improvement projects and Lean principles; utilize and enhance your problem-solving skills while contributing to special assignments **About XPO** XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statementhere (https://jobs.xpo.com/content/CANDIDATE-PRIVACY-NOTICE/?locale=en\_US) .