About the role
from listingAbout the Internship
Data and AI are at the core of how Uber powers smarter decisions. The MEA Analytics team sits at the intersection of marketplace intelligence and advanced data science, turning complex operational data into strategic insights and scalable AI-driven solutions. We are looking for a highly motivated, analytically sharp intern who is passionate about using data science and AI to solve real-world business problems at scale.
You will be part of the MEA Analytics team, working on data science and AI projects that shape how Uber's ride-hail business operates across the region.
What You'll Do
Embark on a chance to reimagine the way the world moves by working on real-time, high-impact data science and AI projects
Learn the vast inner workings of Uber. You will have a direct impact on Riders, Drivers, and the Marketplace through data-driven insights
Solve key strategic problems by building and applying analytical frameworks, machine learning models and AI pipelines to advise the team on critical decisions
Experiment with new AI-powered approaches to improve operations spanning demand forecasting, pricing optimization, supply-demand modeling, and rider/driver segmentation
Collaborate and engage with stakeholders across functions including Operations, Marketplace, and Data Science to translate complex findings into clear, actionable recommendations
Basic Qualifications
Enrolled in a Bachelor's or Master's degree program in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field
Available to start on 1st of Feb 2027 and work full time for 3–6 months
Work authorization in the UAE - No visa sponsorship is available for internships
Graduation Timeline: Able to join in a full-time role (if an opportunity opens up) shortly after the internship ends
Preferred Qualifications
Communication: Using interpersonal skills and situational awareness to clearly deliver information to a variety of audiences
Planning and Organization: Setting up and maintaining systems to appropriately structure and keep track of tasks and projects
Problem Solving: Effectively resolving issues through structured, hypothesis-driven thinking using data, logic, and common sense
Stakeholder Management: Taking time to build meaningful relationships; earning the trust of others within the organization through strong situational awareness and reliability
Teamwork: Demonstrates optimism, respects others, and works well in a team
Skills (Must Haves):
Proficiency in SQL for querying and analyzing large-scale datasets
Hands-on experience with Python for data wrangling, statistical analysis, and model development. Demonstrated experience training and evaluating machine learning models (classification, regression, clustering, forecasting)
A portfolio of impactful AI or data science projects showcasing end-to-end thinking from problem framing to model deployment.