Data Scientist (AI, Machine Learning, and Generative AI)
by Property Finder in Real Estate Development & Property Management
Property Finder is the leading property portal in the Middle East and North Africa (MENA) region and a lighthouse technology company within the PropTech ecosystem, with a mission to change living for good in the region. Founded in 2007, the company connects millions of property seekers with thousands of real estate professionals, providing a seamless platform that empowers informed decisions for buyers and renters while supporting developers and brokers. The Data Scientist role is based in Dubai, United Arab Emirates, and sits within the AI & Data Science team, playing a critical role in shaping AI-driven decision-making and driving the company’s data strategy. The position requires a highly experienced Data Scientist with foundational expertise in Machine Learning Engineering and Generative AI, capable of designing and implementing advanced predictive and optimization models using classical machine learning, statistical models, deep learning approaches, and modern AI techniques. The role emphasizes applied innovation in Large Language Models, Generative AI, and Agentic AI systems, with responsibilities spanning experimentation, evaluation, and deployment of end-to-end machine learning models into production environments. The Data Scientist builds and maintains evaluation pipelines, A/B testing frameworks, and monitoring systems to ensure model performance, reliability, fairness, and explainability, while integrating trust, confidence scoring, and auditability into model design. The role involves developing advanced analytics and visualization frameworks, optimizing model scalability, efficiency, and real-world reliability, and implementing MLOps best practices including CI/CD, automated workflows, model registry, versioning, and lifecycle management. The position collaborates closely with Data Platform, Engineering, Strategy, Business Analytics, Commercial, and Product teams to align objectives, ensure production-grade scalability, low latency, and operational resilience, and deliver impactful AI solutions across enterprise platforms.