Data Scientist (Roads O&M)

Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development. Our 20,500 employees operate across over 100 countries, deploying their expertise to develop and deliver cutting-edge innovations and solutions for clients. Through the wide range of our activities, we are central to the collective organisation of society and the living environment of citizens all over the world."

With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis’ long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.

Collate, combine and manipulate asset and defect data to prioritise works and propose the Capital Investment Plan.

Systems integration and data analysis.

Understanding of data architectures, ability to extract, manipulate, combine data, build dashboards, automation scripts.

• Collect, process, and analyze large datasets related to road conditions, traffic patterns, and maintenance activities
• Develop and implement machine learning models to predict road deterioration and optimize maintenance schedules
• Create data visualization dashboards and reports to communicate insights to stakeholders effectively
• Collaborate with engineering teams to integrate data-driven insights into O&M decision-making processes
• Design and maintain databases to store and manage road infrastructure data
• Utilize GIS technologies to perform spatial analysis of road networks and related infrastructure
• Develop predictive models to forecast traffic patterns and identify potential congestion areas
• Contribute to the development of data-driven strategies for improving road safety and reducing maintenance costs
• Stay up-to-date with the latest advancements in data science and machine learning techniques relevant to transportation infrastructure