About DEUNA 🧡   DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA—the fastest-growing Commerce OS in Latin America—ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.   With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico’s digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation. We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments! 🚀   Visit https://www.deuna.com/ to learn more about us! We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business. This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. KEY RESPONSIBILITIES Assist in collecting, cleaning, and preparing datasets for analysis. Perform exploratory data analysis to identify trends and patterns. Support the development and evaluation of machine learning models. Build dashboards and visualizations to communicate business insights. Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives. Document analyses, methodologies, and project findings. Participate in team meetings, knowledge-sharing sessions, and technical discussions. Learn and apply best practices in data science, experimentation, and analytics. QUALIFICATIONS REQUIRED Currently pursuing a Bachelor’s or Master’s degree in: Computer Science Data Science Statistics Mathematics Engineering Economics Physics Or a related quantitative field.