Huspy — one of EMEA’s fastest-growing property technology companies, backed by Sequoia Capital, Founders Fund, and Balderton Capital with over $140 million raised — is hiring a Data Scientist in Dubai, UAE. This high-impact role involves building real estate ML models, creating multimodal embeddings, running experiments, shipping models to production, and partnering with product and engineering teams to transform how property transactions happen across the UAE, Spain, Saudi Arabia, and Europe.
About Huspy — EMEA’s Leading PropTech Company
Founded: 2020 — Operating across UAE and Spain, expanding into Saudi Arabia and 3+ European markets by 2026
Funding: Over $140 million raised across Series A and Series B rounds from world-class global investors
Investors: Sequoia Capital, Founders Fund, and Balderton Capital — among the world’s most respected VC firms
Market Position: Largest portion of the UAE mortgage market and fastest-growing player in European cities
Product: A SuperApp empowering real estate agents and mortgage brokers with cutting-edge technology
Global Impact & Data Science Opportunity
Real Impact: Build ML models that directly influence property valuations and real estate decisions at scale
Tech-First Culture: Work alongside world-class engineers and product teams in a fast-moving, data-driven environment
EMEA Expansion: Your models will power a platform expanding across UAE, Spain, Saudi Arabia, and Europe
Career Growth: Join a Series B rocket ship with real ownership, top-tier investors, and global ambition
Position Overview
As a Data Scientist at Huspy in Dubai, you will own the end-to-end lifecycle of machine learning solutions — from problem framing and data analysis all the way through model deployment and production monitoring. You will build real estate market models for valuation and pricing, create multimodal vector embeddings for listings, design experiments to measure product impact, and collaborate cross-functionally with product, engineering, and operations teams to translate complex business problems into scalable, production-ready ML solutions across Huspy’s rapidly growing EMEA platform.
Why This Role Matters: As a Data Scientist at Huspy Dubai, you build ML models that directly shape the UAE’s largest mortgage market, create multimodal embeddings powering property search and recommendations across EMEA, ship real models to production with full MLOps ownership, work with Sequoia and Founders Fund-backed leadership, and play a defining role in transforming one of the world’s most traditional industries through powerful, intelligent technology.
Key Responsibilities
Real Estate Market Modelling
- Build and own machine learning models applied to real estate challenges including property valuation and pricing at scale
- Apply a range of techniques from classic supervised ML to advanced approaches suited to dynamic property market data
- Handle real-world data challenges including quality issues, leakage risks, location effects, and market seasonality
- Continuously improve model accuracy and robustness as Huspy expands into new markets across EMEA
Multimodal Embeddings & Search
- Create rich vector representations of real estate entities — including listings combining images, text, and structured attributes
- Power advanced use cases including intelligent property search, listing matching, deduplication, and personalised recommendations
- Leverage multimodal and vision techniques to extract value from the full spectrum of property listing data
- Explore voice AI applications including ASR and NLU where relevant to the Huspy SuperApp product roadmap
Data Analysis & Experimentation
- Use SQL and Python to extract, clean, transform, and deeply analyze complex real estate datasets
- Design rigorous experiments to evaluate the real-world business and product impact of new models and features
- Build reliable data pipelines using frameworks such as Pandas, NumPy, and Scikit-learn for model training and evaluation
- Define robust metrics to measure model performance and quantify impact on key product and business KPIs
Model Operationalization & MLOps
- Ship trained models to production with full capabilities including monitoring, automated rollout, and CI/CD pipelines
- Maintain deployed models in both batch and real-time inference settings, ensuring versioning and reproducible training
- Actively partner with engineering teams to integrate ML solutions seamlessly into the Huspy SuperApp platform
- Champion observability best practices and proactively identify model performance drift or degradation in production
Cross-Functional Delivery & Stakeholder Communication
- Partner closely with product, engineering, and operations teams to translate business problems into scalable ML solutions
- Communicate clearly and confidently with both technical and non-technical stakeholders on model decisions and tradeoffs
- Scope and prioritize machine learning projects based on business value, feasibility, and strategic impact
- Take full ownership of ML deliverables from initial problem definition all the way through to production deployment
Qualifications & Requirements
Experience Requirements
- 4–8 years of proven, hands-on experience in applied data science or machine learning roles delivering real-world KPI impact
- Strong mastery of SQL and Python — including Pandas, NumPy, and Scikit-learn — for data pipelines and model development
- Solid MLOps fundamentals: model deployment, versioning, CI/CD, observability, and reproducible training pipelines
Preferred Skills & Nice to Have
- Software engineering experience that complements data science workflows and production-grade ML delivery
- Multimodal or computer vision experience working with combined image, text, and structured data representations
- Exposure to voice AI technologies including Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU)
- Comfort working in ambiguous environments with data quality challenges, leakage risks, and shifting market dynamics
Academic Background
- Bachelor’s degree in a STEM discipline — Computer Science, Mathematics, Statistics, or Engineering preferred
- Master’s degree in a relevant field is a strong plus and will be viewed favorably by the hiring team
About Huspy
Huspy is one of EMEA’s leading property technology companies, founded in 2020 and operating across the UAE and Spain, with rapid expansion into Saudi Arabia and three additional European markets by 2026. Having raised over $140 million from world-renowned investors including Sequoia Capital, Founders Fund, and Balderton Capital, Huspy has built a SuperApp that is fundamentally changing how real estate agents and mortgage brokers operate — bringing intelligent technology to one of the world’s most traditional industries. Huspy owns the largest portion of the UAE mortgage market and is the fastest-growing PropTech player in every European city it has entered.
Career Excellence: Join a Sequoia-backed rocket ship at the intersection of AI, real estate, and financial technology — and help build the future of property transactions across EMEA.
Who Should Apply?
- Applied ML Engineers: With 4–8 years delivering real-world machine learning models to production at scale
- Data Scientists: Experienced in real estate, fintech, marketplace, or high-velocity data-rich environments
- MLOps Practitioners: Skilled in model deployment, CI/CD, monitoring, and production ML infrastructure
- Python & SQL Experts: With strong data pipeline, experimentation, and model evaluation capabilities
- Multimodal AI Specialists: With experience combining images, text, and structured data for embeddings or search
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