Senior Data Scientist at Property Finder

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Machine Learning Engineering, Predictive Modeling, Optimization Models, Large Language Models, Deep Learning, Statistical Modeling, Python, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, MLOps, Cloud Platforms, APIs

Industry

Software Development

Description

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region. Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA. Position Summary: We are seeking an accomplished Senior Data Scientist with deep expertise in Generative AI, and solid foundations in ML Engineering to join our forward-thinking AI & Data Science team. You will play a pivotal role in leading cutting-edge AI initiatives, scaling data-driven strategies, and shaping the future of AI at Property Finder. This senior role requires strong technical and research depth, a collaborative mindset, and a proven ability to translate business challenges into impactful AI solutions. You will also act as a mentor to junior scientists and influence strategic decision-making across the company. Key Responsibilities: Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques. Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI—pioneering new applications such as enhanced personalization, lead qualification, content generation, and workflow automation. Own the end-to-end ML lifecycle: from hypothesis generation, experimentation, evaluation, and explainability, to scalable deployment in production systems. Develop and enforce rigorous evaluation and monitoring pipelines, including A/B testing, drift detection, and model fairness/robustness. Guide the development of advanced analytics and visualization solutions to support strategic business decisions at scale. Collaborate closely with engineering teams to ensure resilient, low-latency, and production-grade deployment of AI systems. Embed trust, transparency, and auditability in all models—ensuring alignment with ethical AI and governance frameworks. Stay abreast of the latest in AI research and industry trends to keep our technology stack at the forefront. Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management). Cross-Team Collaboration: Act as a technical leader and mentor for junior team members, fostering a culture of excellence, innovation, and continuous learning. Collaborate with Data Platform and Engineering teams to optimize model deployment pipelines and infrastructure. Partner with Product, Strategy, Commercial, and Executive stakeholders to define AI roadmaps, align on business priorities, and communicate insights effectively. Desired Qualifications: Education: Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related field. Experience: 5+ years of experience in applied data science or machine learning engineering roles. Proven track record of deploying models in production environments with measurable business impact. Experience guiding junior data scientists or leading end-to-end ML projects independently. Technical Skills: Expertise in supervised/unsupervised learning, deep learning (CNNs, RNNs, transformers), and statistical modeling. Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness. Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning libraries (PyTorch or TensorFlow). Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) pipelines. Experience integrating ML models via APIs and embedding AI in enterprise systems. Deep knowledge of cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). Familiarity with ML pipelines, model registries, CI/CD, Git-based version control, and production monitoring. Soft Skills: Exceptional communication and stakeholder management skills across technical and non-technical audiences. Strategic thinking with the ability to connect AI/ML capabilities to core business goals. Demonstrated ability to thrive in a fast-paced, collaborative, and dynamic environment.Strategic mindset with the ability to translate business goals into data-driven initiatives. Our promise to talent At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed. Property Finder Guiding Principles Think Future First Data Beats Opinions, Speed Beats Perfection Optimise for Impact No Ostriches Allowed Our People, Our Power The Biggest Risk is Taking no Risk at All Find us at: Twitter Facebook Instagram Linkedin Glassdoor

Responsibilities

Lead the design and implementation of complex predictive and optimization models while driving innovation in AI applications. Collaborate closely with engineering teams to ensure resilient deployment of AI systems and guide the development of advanced analytics solutions.