Job Description

About 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.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.