Location : Riyadh, Saudi Arabia
Industry: Real Estate / Large Assets / Construction
Availability: Immediate
Role Overview
The AI & Data Science Expert designs and deploys data-driven and AI-powered solutions for large real estate assets and construction projects. The role focuses on operational value, not theoretical models. This position supports developers, asset owners, and operators in leveraging data across the full asset lifecycle: design, construction, commissioning, operations, and optimization of large and complex assets (districts, malls, campuses, infrastructure portfolios).
Key Responsibilities
AI & Data Strategy
- Define AI and data strategies aligned with real estate and construction business objectives.
- Identify high-value use cases: predictive maintenance, energy optimization, space utilization, cost and schedule forecasting, safety analytics, asset performance optimization.
- Translate business and operational needs into data models and AI use cases.
Data Architecture & Analytics
- Design data architectures integrating BIM, GIS, IoT, BMS, CMMS, ERP, and operational systems.
- Structure and manage large, heterogeneous datasets coming from construction sites and operating assets.
- Ensure data quality, governance, and interoperability across platforms.
AI Model Development & Deployment
- Develop, train, and validate machine learning and AI models applicable to real estate and construction environments.
- Deploy AI solutions that are scalable, explainable, and operationally usable.
- Work with IT and platform teams to integrate models into production systems and dashboards.
Construction & Asset Lifecycle Integration
- Support AI-driven decision-making during design, construction, and operations.
- Analyse construction performance (cost, schedule, productivity, risk).
- Enable asset operators with predictive and prescriptive analytics.
Stakeholder & Project Support
- Work closely with project managers, engineers, asset managers, and operators.
- Support tenders, RFPs, and technology evaluations with AI and data expertise.
- Present insights and recommendations to non-technical stakeholders.
Required Profile
Background & Experience
- Proven experience as a Data Scientist / AI Expert in real estate, construction, infrastructure, or large asset environments.
- Direct exposure to construction projects, asset operations, or large portfolios is mandatory.
- Experience working with complex, imperfect, real-world data (not clean academic datasets).
Technical Skills
- Strong expertise in:
- Machine learning and applied AI
- Data engineering and analytics pipelines
- Time-series analysis and predictive modelling
- Experience with BIM, digital twins, IoT data, or building systems is a strong advantage.
- Understanding of cloud-based data platforms and scalable architectures.
Business & Operational Mindset
- Ability to link AI outcomes to cost reduction, performance improvement, and asset value.
- Comfortable working with engineers, construction teams, and operations staff.
- Pragmatic, delivery-focused, capable of moving from prototype to deployment.