AI & Data Science Expert (J26-53)

**Location :** Riyadh, Saudi Arabia

Role Overview

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.

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.