Data Scientist Engineering & Architecture

We are seeking an innovative and analytical Data Scientist to join our Buildings Design team in Abu Dhabi United Arab this role you will leverage advanced data analytics and machine learning techniques to drive data-informed decision-making in engineering and architectural projects.

Responsibilities:

• Develop and implement machine learning models and statistical analyses to optimize engineering and architectural designs
• Collaborate with cross-functional teams to identify opportunities for data-driven improvements in project efficiency and performance
• Create and maintain data pipelines to process large datasets from various sources including CAD and BIM systems
• Develop predictive models to forecast project outcomes resource requirements and potential risks
• Design and implement data visualization solutions to communicate complex insights to stakeholders
• Contribute to the development of data-driven tools and applications for engineering and architecture professionals
• Stay current with emerging trends and technologies in data science engineering and architecture
• Ensure compliance with local building codes and regulations in data-driven recommendations

Qualifications :

• Bachelors or Masters degree in Computer Science Information Technology Data Science .
• Foundational knowledge or strong interest in:Python programming Data analytics and visualization (Power BI) AI and machine learning concepts
• Strong analytical thinking with the ability to translate business problems into digital solutions.
• Hands-on exposure or academic/project experience with
• Microsoft Power Platform (Power Apps Power Automate) & Microsoft 365
• Microsoft Fabric and Azure services
• Familiarity or willingness to learn Microsoft Fabric and modern data platforms.
• Microsoft certifications such as PL-300 PL-900 PL-600 (or working towards them).
• Strong interest in AI process automation and digital transformation initiatives.
• Exposure to additional data visualization tools and a problem-solving mindset.

Additional Information :

About AECOM  

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status AECOM benefits may include medical dental vision life AD&D disability benefits paid time off leaves of absences voluntary benefits perks flexible work options well-being resources employee assistance program business travel insurance service recognition awards retirement savings plan and employee stock purchase plan. 

AECOM is the global infrastructure leader committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities we solve our clients complex challenges in water environment energy transportation and buildings. Our teams partner with public- and private-sector clients to create innovative sustainable and resilient solutions throughout the project lifecycle from advisory planning design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at . 

What makes AECOM a great place to work  

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts youll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills helping you build the career youve always envisioned. Here youll find a welcoming workplace built on respect collaboration and community - where you have the freedom to grow in a world of opportunity. 

As an Equal Opportunity Employer we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. 

Remote Work :

No

Employment Type :

Full-time

Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Experience: years
Vacancy: 1