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2027 - Data Analytics Intern, Dubai

Uber
Dubai, UAE
Full-time
Intern
Onsite
Discovered Today
pythonsql

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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.

Responsibilities

  • 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

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