Data Scientist Engineering & Architecture

Job DescriptionWe are seeking an innovative and analytical Data Scientist to join our Buildings Design team in Abu Dhabi, United Arab Emirates. In this role, you will leverage advanced data analytics and machine learning techniques to drive data-informed decision-making in engineering and architectural projects.ResponsibilitiesDevelop and implement machine learning models and statistical analyses to optimize engineering and architectural designsCollaborate with cross‑functional teams to identify opportunities for data‑driven improvements in project efficiency and performanceCreate and maintain data pipelines to process large datasets from various sources, including CAD and BIM systemsDevelop predictive models to forecast project outcomes, resource requirements, and potential risksDesign and implement data visualization solutions to communicate complex insights to stakeholdersContribute to the development of data‑driven tools and applications for engineering and architecture professionalsStay current with emerging trends and technologies in data science, engineering, and architectureEnsure compliance with local building codes and regulations in data‑driven recommendationsQualificationsBachelor’s or Master’s degree in Computer Science, Information Technology, Data ScienceFoundational knowledge or strong interest in Python programming, data analytics and visualization (Power BI), AI and machine learning conceptsStrong analytical thinking with the ability to translate business problems into digital solutionsHands‑on exposure or academic/project experience with Microsoft Power Platform (Power Apps, Power Automate) and Microsoft 365Microsoft Fabric and Azure servicesFamiliarity or willingness to learn Microsoft Fabric and modern data platformsMicrosoft certifications such as PL‑300, PL‑900, PL‑600 (or working toward them)Strong interest in AI, process automation, and digital transformation initiativesExposure to additional data visualization tools and a problem‑solving mindsetAs 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.#J-18808-Ljbffr