Data Scientist - Construction Analytics
Posted date [2026-08-31]
(ID: 50460)
 |
AECOM is a global leader in infrastructure development, engineering, and project management solutions, dedicated to building a better, smarter, and more sustainable world. With unmatched expertise in construction, civil engineering, architecture, environmental consulting, and urban development, AECOM helps clients tackle complex challenges across water, energy, transportation, oil and gas, renewable energy, and smart city projects. As one of the world’s leading engineering and construction companies in the UAE, Saudi Arabia, Qatar, and the wider Gulf region, AECOM partners with both government and private organizations to deliver innovative, sustainable, and cost-effective infrastructure solutions through every stage of the project lifecycle from advisory and design to engineering, procurement, and construction management. Headquartered in the United States and operating across the Middle East, AECOM is a Fortune 500 company with annual revenue of USD 16.1 billion in fiscal year 2024. Its projects shape skylines, transportation systems, and energy networks across major Gulf cities such as Dubai, Abu Dhabi, Doha, Riyadh, and Muscat. For those seeking engineering jobs in Dubai, construction management roles in the UAE, civil engineering careers in Saudi Arabia, or infrastructure project opportunities across the Middle East, AECOM offers a world-class environment for growth and innovation. Discover the latest AECOM Gulf and Middle East job openings at careersingulf.com, the region’s leading job portal for engineering, architecture, construction, and project management careers.... |
Job Description and Requirements
Data Scientist - Construction AnalyticsJob Snapshot
Role: Data Scientist - Construction Analytics
Location: Dubai, United Arab Emirates
Industry: Construction
Function: Mathematical-Statistical Research
Experience: Graduate level
Job Type: Full-time
Position Overview
Data Scientist - Construction Analytics in Dubai, United Arab Emirates is a Construction opportunity with AECOM for a UAE National graduate interested in data analytics, digital engineering, quantity surveying technology, cost management automation, and construction intelligence. The role forms part of AECOM\'s 24-month Advance graduate program and supports Quantity Surveying and Cost Management teams by developing data-driven workflows, dashboards, automation tools, and digital solutions that improve cost planning, reporting accuracy, project efficiency, and commercial decision-making.
Job Details
Country: United Arab Emirates
City: Dubai
Industry: Construction
Function: Mathematical-Statistical Research
Salary: 12000-18000
Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: UAE National with Family
Book
Job Type: Full-time
Role Context
The Data Scientist sits at the intersection of construction cost management, data analytics, software automation, and digital engineering. Working alongside quantity surveyors and multidisciplinary project teams, the position helps transform project information into structured datasets, interactive dashboards, automated processes, and practical insights that can improve commercial and project decisions.
A major focus is integrating modern digital workflows into established quantity surveying practices. The graduate will help teams strengthen cost planning, cost control, value engineering, reporting, and information management while developing practical expertise in technologies such as Python, SQL, Power BI, BIM platforms, CostX, Dynamo, and VBA.
As part of the structured Advance graduate program, the role combines real project exposure with formal learning and mentoring from experienced professionals, creating a pathway from graduate-level technical work toward broader digital engineering and construction analytics responsibilities.
Key Responsibilities
* Support Quantity Surveying and Cost Management teams with digital tools, structured data, analytics, and automated workflows.
* Work closely with quantity surveyors to integrate digital processes into established cost management activities.
* Improve cost planning, cost control, forecasting, and value engineering processes using appropriate digital platforms.
* Collect project information from multiple sources and organize it into reliable datasets for analysis and reporting.
* Analyze construction and commercial data to identify patterns, trends, risks, and actionable insights.
* Maintain project databases and ensure information remains accurate, structured, current, and accessible to relevant teams.
* Develop information-rich dashboards and reports using Power BI or comparable data visualization platforms.
* Build and maintain digital templates that standardize recurring analytical and cost management activities.
* Develop automation scripts using Python, Dynamo, VBA, or similar technologies to reduce repetitive manual work.
* Apply SQL and data management techniques to organize, retrieve, validate, and analyze project information.
* Monitor data quality and ensure digital outputs comply with organizational information management standards.
* Support implementation of new technologies across quantity surveying and cost management workflows.
* Provide technical assistance to colleagues using digital tools, applications, dashboards, and automated processes.
* Deliver training sessions and practical guidance when new digital workflows or systems are introduced.
* Explore emerging construction technologies and propose solutions that could improve productivity, accuracy, and project delivery.
* Work with cross-functional teams to encourage adoption of digital practices across project environments.
* Support BIM-enabled workflows using platforms such as Revit, Navisworks, Autodesk Construction Cloud, Solibri, and Aconex.
* Assist teams working with CostX or similar quantity surveying and estimating platforms.
* Engage constructively with colleagues from different disciplines and levels of seniority to improve digital processes.
* Contribute to a collaborative environment where technical ideas, experimentation, and continuous improvement are encouraged.
Ideal Profile
Applicants must be UAE Nationals holding a Family Book and should have graduated with a Bachelor\'s degree during 2024, 2025, or 2026.
A Bachelor\'s Degree or Diploma in Quantity Surveying, Digital Engineering, Software Engineering, Computer Science, Data Analytics, or a closely related discipline is required, with a minimum GPA of 2.8.
The position is particularly suited to graduates who combine strong analytical ability with an interest in construction, commercial management, digital transformation, automation, and data-driven project delivery.
Candidates should have advanced capability in Python and SQL together with experience using data visualization platforms such as Power BI.
Understanding of construction-focused digital technologies is important. Familiarity with Revit, Navisworks, Autodesk Construction Cloud, Solibri, Aconex, CostX, or comparable platforms will be valuable.
Experience developing automation using Dynamo, Python, VBA, or similar scripting technologies is highly relevant.
The role also requires clear communication, good organization, effective time management, and the confidence to work with multidisciplinary teams and multiple stakeholders.
Candidates should be comfortable explaining technical concepts, supporting colleagues, contributing during team discussions, and occasionally delivering training or group presentations.
Skills Set
* Data science
* Construction analytics
* Construction data management
* Cost management analytics
* Quantity surveying technology
* Cost planning
* Cost control
* Value engineering
* Python
* SQL
* Power BI
* Data visualization
* Data analysis
* Database management
* Automation scripting
* Dynamo
* VBA
* Digital workflow development
* Dashboard development
* Construction reporting
* BIM workflows
* Revit
* Navisworks
* Autodesk Construction Cloud
* Solibri
* Aconex
* CostX
* Data integrity
* Digital engineering
* Process automation
* Technical training
* Project information management
Why Join Us
This role provides UAE National graduates with a strong entry point into one of the fastest-developing areas of the Construction industry: the integration of data science, digital engineering, automation, and commercial project management.
AECOM\'s 24-month Advance graduate program combines structured learning, practical project exposure, and one-on-one mentoring with experienced industry professionals. The position offers an opportunity to develop technical capability in Python, SQL, Power BI, BIM, automation, and construction cost analytics while gaining direct exposure to Quantity Surveying and Cost Management teams.
The role is fully NAFIS eligible, with AECOM managing applicable GPSSA registrations and contributions. For graduates interested in combining technology with the built environment, it offers a pathway toward careers in construction analytics, digital engineering, cost intelligence, automation, and data-led project delivery.
About the Company
AECOM is a global infrastructure consulting firm providing planning, design, engineering, program management, construction management, cost management, and digital services across buildings, transportation, water, environment, and energy. Its multidisciplinary teams combine engineering expertise with emerging technologies and data-driven approaches to support sustainable and resilient infrastructure throughout the project lifecycle.
Job Type: Full-time
Role Context
The Data Scientist sits at the intersection of construction cost management, data analytics, software automation, and digital engineering. Working alongside quantity surveyors and multidisciplinary project teams, the position helps transform project information into structured datasets, interactive dashboards, automated processes, and practical insights that can improve commercial and project decisions.
A major focus is integrating modern digital workflows into established quantity surveying practices. The graduate will help teams strengthen cost planning, cost control, value engineering, reporting, and information management while developing practical expertise in technologies such as Python, SQL, Power BI, BIM platforms, CostX, Dynamo, and VBA.
As part of the structured Advance graduate program, the role combines real project exposure with formal learning and mentoring from experienced professionals, creating a pathway from graduate-level technical work toward broader digital engineering and construction analytics responsibilities.
Key Responsibilities
* Support Quantity Surveying and Cost Management teams with digital tools, structured data, analytics, and automated workflows.
* Work closely with quantity surveyors to integrate digital processes into established cost management activities.
* Improve cost planning, cost control, forecasting, and value engineering processes using appropriate digital platforms.
* Collect project information from multiple sources and organize it into reliable datasets for analysis and reporting.
* Analyze construction and commercial data to identify patterns, trends, risks, and actionable insights.
* Maintain project databases and ensure information remains accurate, structured, current, and accessible to relevant teams.
* Develop information-rich dashboards and reports using Power BI or comparable data visualization platforms.
* Build and maintain digital templates that standardize recurring analytical and cost management activities.
* Develop automation scripts using Python, Dynamo, VBA, or similar technologies to reduce repetitive manual work.
* Apply SQL and data management techniques to organize, retrieve, validate, and analyze project information.
* Monitor data quality and ensure digital outputs comply with organizational information management standards.
* Support implementation of new technologies across quantity surveying and cost management workflows.
* Provide technical assistance to colleagues using digital tools, applications, dashboards, and automated processes.
* Deliver training sessions and practical guidance when new digital workflows or systems are introduced.
* Explore emerging construction technologies and propose solutions that could improve productivity, accuracy, and project delivery.
* Work with cross-functional teams to encourage adoption of digital practices across project environments.
* Support BIM-enabled workflows using platforms such as Revit, Navisworks, Autodesk Construction Cloud, Solibri, and Aconex.
* Assist teams working with CostX or similar quantity surveying and estimating platforms.
* Engage constructively with colleagues from different disciplines and levels of seniority to improve digital processes.
* Contribute to a collaborative environment where technical ideas, experimentation, and continuous improvement are encouraged.
Ideal Profile
Applicants must be UAE Nationals holding a Family Book and should have graduated with a Bachelor\'s degree during 2024, 2025, or 2026.
A Bachelor\'s Degree or Diploma in Quantity Surveying, Digital Engineering, Software Engineering, Computer Science, Data Analytics, or a closely related discipline is required, with a minimum GPA of 2.8.
The position is particularly suited to graduates who combine strong analytical ability with an interest in construction, commercial management, digital transformation, automation, and data-driven project delivery.
Candidates should have advanced capability in Python and SQL together with experience using data visualization platforms such as Power BI.
Understanding of construction-focused digital technologies is important. Familiarity with Revit, Navisworks, Autodesk Construction Cloud, Solibri, Aconex, CostX, or comparable platforms will be valuable.
Experience developing automation using Dynamo, Python, VBA, or similar scripting technologies is highly relevant.
The role also requires clear communication, good organization, effective time management, and the confidence to work with multidisciplinary teams and multiple stakeholders.
Candidates should be comfortable explaining technical concepts, supporting colleagues, contributing during team discussions, and occasionally delivering training or group presentations.
Skills Set
* Data science
* Construction analytics
* Construction data management
* Cost management analytics
* Quantity surveying technology
* Cost planning
* Cost control
* Value engineering
* Python
* SQL
* Power BI
* Data visualization
* Data analysis
* Database management
* Automation scripting
* Dynamo
* VBA
* Digital workflow development
* Dashboard development
* Construction reporting
* BIM workflows
* Revit
* Navisworks
* Autodesk Construction Cloud
* Solibri
* Aconex
* CostX
* Data integrity
* Digital engineering
* Process automation
* Technical training
* Project information management
Why Join Us
This role provides UAE National graduates with a strong entry point into one of the fastest-developing areas of the Construction industry: the integration of data science, digital engineering, automation, and commercial project management.
AECOM\'s 24-month Advance graduate program combines structured learning, practical project exposure, and one-on-one mentoring with experienced industry professionals. The position offers an opportunity to develop technical capability in Python, SQL, Power BI, BIM, automation, and construction cost analytics while gaining direct exposure to Quantity Surveying and Cost Management teams.
The role is fully NAFIS eligible, with AECOM managing applicable GPSSA registrations and contributions. For graduates interested in combining technology with the built environment, it offers a pathway toward careers in construction analytics, digital engineering, cost intelligence, automation, and data-led project delivery.
About the Company
AECOM is a global infrastructure consulting firm providing planning, design, engineering, program management, construction management, cost management, and digital services across buildings, transportation, water, environment, and energy. Its multidisciplinary teams combine engineering expertise with emerging technologies and data-driven approaches to support sustainable and resilient infrastructure throughout the project lifecycle.
