Huspy, one of the leading property technology companies in EMEA and backed by Sequoia Capital, Founders Fund, and Balderton Capital with over $140 million raised, is hiring a Data Scientist in Dubai to build real estate market models, create multimodal embeddings, ship ML solutions to production, and partner with cross-functional teams to transform how property transactions happen — faster, smarter, and better for everyone.
About Huspy — EMEA’s PropTech Powerhouse
Founded: 2020 in Dubai, UAE — now operating across UAE, Spain, and expanding into Saudi Arabia and 3 more European markets by 2026
Funding: $140M+ raised across Series A and Series B from Sequoia Capital, Founders Fund, and Balderton Capital
Market Position: Largest share of the UAE mortgage market and fastest-growing PropTech in every European city entered
Product: SuperApp empowering real estate agents and mortgage brokers with cutting-edge technology and AI tools
Mission: Reshaping the homebuying journey through powerful technology — from search to mortgage to ownership
Why Join Huspy as a Data Scientist in Dubai?
High-Impact Role: Build ML models that directly influence UAE’s largest mortgage market and EMEA real estate operations
Elite Investors: Work at a Sequoia, Founders Fund, and Balderton Capital-backed company with global ambitions
Rapid Growth: Be part of one of the fastest-scaling PropTech companies expanding across UAE, Europe, and Saudi Arabia
Tech-First Culture: Collaborate with world-class engineers and scientists in a product-driven, data-intelligent environment
Position Overview
Huspy is seeking a skilled Data Scientist in Dubai to drive, build, and own real estate ML solutions across the full model lifecycle — from exploration and experimentation to production deployment. You will build sophisticated real estate market models using supervised ML and advanced techniques, create multimodal embeddings for listings, design and run experiments using SQL and Python, operationalize models into production with CI/CD and monitoring capabilities, and partner with product, engineering, and operations teams to translate complex business challenges into scalable, impactful data science solutions across EMEA markets.
Why This Role Matters: As Data Scientist at Huspy, you build the ML models that power UAE’s largest mortgage technology platform, create multimodal real estate embeddings combining images, text, and structured data at scale, ship production-grade AI solutions used across EMEA’s fastest-growing PropTech, work alongside teams funded by Sequoia Capital and Founders Fund on real-world market challenges, and accelerate your data science career in Dubai at the intersection of real estate, AI, and financial technology.
Key Responsibilities
Real Estate Market Modeling
- Build and continuously improve sophisticated ML models applied to real estate challenges such as property valuation, pricing prediction, and market trend analysis across UAE and EMEA markets
- Leverage techniques ranging from classic supervised machine learning through to advanced deep learning approaches to develop robust, production-ready real estate intelligence models
- Evaluate model performance rigorously with appropriate metrics, managing real-world risks such as data leakage, location-based seasonality, and inventory market dynamics
- Iterate rapidly on model improvements based on production feedback, business KPIs, and evolving market conditions across Huspy’s expanding EMEA footprint
Multimodal Embeddings & Search
- Create rich vector representations of real estate entities — including property listings — by combining images, text descriptions, and structured attributes into unified multimodal embeddings
- Power intelligent search, property matching, deduplication, and personalized recommendation systems across Huspy’s SuperApp platform using embedding-based approaches
- Research and implement state-of-the-art multimodal and vision AI techniques to continuously improve property understanding and user experience at scale
- Design scalable embedding pipelines that can efficiently handle Huspy’s growing real estate inventory across UAE, Spain, Saudi Arabia, and European markets
Data Analysis & Experimentation
- Use SQL and Python to extract, clean, transform, and analyze large-scale real estate datasets from multiple sources across UAE and international markets
- Design rigorous A/B experiments and statistical evaluations to measure model and product impact with robust, trustworthy metrics that drive confident business decisions
- Build reliable, well-documented data pipelines using Pandas, NumPy, Scikit-learn, and related frameworks to support model training, evaluation, and continuous improvement cycles
- Identify patterns, opportunities, and anomalies in real estate market data that inform both product strategy and machine learning model development priorities
Model Operationalization & MLOps
- Ship trained models to production environments with comprehensive capabilities including performance monitoring, automated rollout pipelines, and CI/CD integration in close partnership with engineering teams
- Maintain production models with versioning, observability tooling, and reproducible training workflows that ensure model reliability and performance consistency over time
- Support both batch and real-time model serving architectures appropriate to different product use cases across Huspy’s technology stack
- Proactively identify and address model drift, data quality issues, and performance degradation in production ML systems serving live users
Cross-Functional Delivery & Stakeholder Partnership
- Partner closely with product, engineering, and operations teams to translate complex, ambiguous business problems into clearly scoped, actionable, and scalable ML solutions
- Communicate technical findings, model trade-offs, and experimental results clearly to both technical and non-technical stakeholders at all levels of the organization
- Own the full data science delivery process — from problem scoping and data exploration through model deployment and post-launch measurement — with autonomy and accountability
- Contribute to Huspy’s data science culture through code reviews, documentation, knowledge sharing, and mentorship as the team and product scale rapidly
Qualifications & Requirements
Educational Requirements
- Bachelor’s degree in a STEM field — Computer Science, Mathematics, Statistics, Engineering, or a closely related discipline is required
- Master’s degree in Data Science, Machine Learning, or a quantitative STEM field is a meaningful advantage and preferred for senior-level consideration
Experience Requirements
- 4 to 8 years of proven, hands-on experience in applied data science or machine learning, with a demonstrated track record of delivering models that move real-world business KPIs
- Strong command of SQL and Python — proficient with core data science frameworks including Pandas, NumPy, and Scikit-learn for reliable pipeline building, model training, and evaluation
- Practical MLOps fundamentals: experience deploying and maintaining models in batch or real-time environments, with knowledge of versioning, CI/CD basics, and observability tooling
Essential Skills
- Strong communication and ownership mindset — able to clearly scope, prioritize, and explain model trade-offs to both technical engineers and non-technical business stakeholders
- Comfortable operating in ambiguous, fast-moving environments with data quality challenges, leakage risks, and constantly shifting market dynamics including location and seasonality effects
- Solid understanding of experimental design, statistical evaluation methods, and how to robustly measure ML model impact on live product and business metrics
Bonus Skills
- Software engineering experience beyond typical data science scope — clean code practices, system design, or backend integration capabilities are a strong plus
- Multimodal or computer vision AI experience — working with image-text combinations, embeddings, or vision transformer models in production settings
- Voice AI exposure including automatic speech recognition (ASR) or natural language understanding (NLU) systems is an additional advantage
About Huspy
Launched in 2020 in Dubai, Huspy has rapidly grown into one of EMEA’s leading property technology companies — owning the largest share of the UAE mortgage market and expanding aggressively into Spain, Saudi Arabia, and three additional European markets by 2026. With over $140 million raised from Sequoia Capital, Founders Fund, and Balderton Capital, Huspy has built a SuperApp that empowers real estate agents and mortgage brokers with the kind of intelligent technology that has historically only been available to the world’s largest financial institutions.
Career Excellence: Join one of the most well-funded and fastest-growing PropTech companies in EMEA — where your data science work directly reshapes how millions of people buy homes.
Who Should Apply?
- Applied ML Engineers: With 4–8 years shipping production ML models and a passion for real estate market intelligence and data-driven product innovation
- Data Scientists with MLOps Experience: Comfortable deploying, monitoring, and maintaining models in fast-paced, high-growth product environments in UAE or EMEA
- Real Estate Technology Specialists: With experience in property valuation models, pricing algorithms, or market prediction systems using Python and SQL
- Multimodal AI Researchers: With vision-language model or embedding system experience looking to apply cutting-edge AI to real-world PropTech at scale in Dubai
- STEM Graduates with Strong ML Background: 4+ years of applied data science experience seeking a high-impact role at a Sequoia-backed EMEA technology leader
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