Graduate Urban Analytics at AECOM
Dubai, دبي, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

22 Jun, 25

Salary

0.0

Posted On

18 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

It, Urban Design, Architecture, Computer Science, Design Tools

Industry

Information Technology/IT

Description

WORK WITH US. CHANGE THE WORLD.

At AECOM, we’re delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world’s trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We’re one global team driven by our common purpose to deliver a better world. Join us.
Job Description

JOIN AECOM’S 2026 GRADUATE PROGRAM

Are you a recent Computer Science graduate with a passion for cities, design, and digital innovation? AECOM’s Urbanism + Planning team is looking for a forward-thinking Graduate Urban Analytics to join our 2025 Graduate Program. This role is ideal for individuals eager to apply their digital expertise to shape smarter, more sustainable urban environments.

WHAT WE’RE LOOKING FOR

We’re looking for digitally curious, motivated graduates who are:

  • Experienced with programming languages such as Python, Java, C++, C#, SQL
  • Knowledgeable in Machine Learning and Neural Networks, with a passion for innovation
  • Interested in applying digital design, automation, or AI to urban design and planning challenges
  • Proactive communicators who are eager to contribute and learn in a collaborative environment
  • Passionate about using data and technology to shape better cities

Qualifications

MINIMUM REQUIREMENTS

  • Bachelor’s or Master’s Degree in Computer Science, Software/Data Engineering, or a related digital discipline from an accredited university
  • An interest in digital design tools and how they’re applied in architecture, planning, or urban design
  • Candidates must be recent 2024 or 2025 graduates to be eligible for AECOM’s Graduate Program.
  • Successful applicants must have achieved a minimum GPA of 3.3 or 2:1 (or equivalent) and above.
  • If you hold a Master’s degree, it must have started within 12 months of finishing your Bachelor’s to meet the program’s continuous education requirement.
  • Candidates with more than 1 year of postgraduate work experience are not eligible for the program and are encouraged to apply for our professional-level roles instead.
    Additional Information
Responsibilities

ABOUT THE ROLE

As a Graduate Digital Advisor, you will be at the intersection of data science, AI, and urban design – supporting the development of tools, workflows, and research that enhance city-making practices. You will work on a range of multidisciplinary projects and support teams in streamlining processes through automation, parametric design, and digital innovation.
Your contributions will directly shape how we use spatial data and computational methods to inform planning, placemaking, and infrastructure design across the region.

KEY RESPONSIBILITIES:

  • Assist in building tools for spatial analysis, data visualization, and computational planning tasks
  • Support the application of AI, automation, and parametric design to improve project workflows.
  • Assist with research on new methodologies, AI applications, and data-driven approaches in urban planning.
  • Participate in internal training sessions and workshops to develop technical skills.
  • Support with training sessions and knowledge-sharing initiatives on AI, computational design, and digital workflows.
  • Take responsibility for assigned tasks, ensuring accuracy, efficiency, and timely completion.
  • Develop communication skills to present technical findings to both technical and non-technical audiences.
  • Apply proficiency in Machine Learning & Neural Networks , C++,C & C# Programming, Java / Python Programming, Mobile Application Development, SQL
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