Huspy — one of the leading property technology (PropTech) companies in the EMEA region, backed by Sequoia Capital, Founders Fund, and Balderton Capital with over $140 million raised — is hiring a talented Data Scientist for its Dubai, UAE operations. Launched in 2020, Huspy now holds the largest share of the UAE mortgage market, operates across multiple cities in the UAE and Spain, and is expanding aggressively into Saudi Arabia and three additional European markets by 2026. This role places you at the cutting edge of real estate machine learning — building valuation models, multimodal embeddings, data pipelines, and production-grade ML systems that are reshaping how property transactions happen across the globe.
About Huspy — Building the Future of Real Estate Tech
Founded: 2020 — launched in Dubai, UAE and now operating in multiple cities across the UAE, Spain, and expanding into Saudi Arabia and Europe
Market Leadership: Owns the largest share of the UAE mortgage market — one of the fastest-growing PropTech players in every European city it has entered
Funding: Over $140 million raised across Series A and Series B from world-class investors — Sequoia Capital, Founders Fund, and Balderton Capital
SuperApp: Built a real estate SuperApp that empowers agents and mortgage brokers with cutting-edge technology across the UAE and international markets
Vision: Transforming property transactions — faster, smarter, and better for everyone — through powerful technology and agent-first tools across EMEA
Why This Data Scientist Role at Huspy Dubai Stands Out
Top-Tier VC Backing: Work at a Sequoia Capital, Founders Fund, and Balderton Capital backed company — one of the most prestigious investor portfolios in global tech
Real Estate ML at Scale: Build production machine learning models impacting the UAE mortgage market and real estate transactions across EMEA — rare real-world ML scope
High-Growth Stage: Join a Series B company aggressively expanding into new markets — with enormous career growth potential as the data science function scales rapidly
Dubai Tech Hub: Be part of Dubai’s fast-growing technology ecosystem at a company actively reshaping one of the world’s most traditional industries through data science innovation
Position Overview
The Data Scientist at Huspy Dubai is a high-impact, hands-on applied ML role at the intersection of real estate technology and advanced data science. You will build real estate market models for valuation and pricing, create multimodal vector embeddings combining images, text, and structured attributes for search and matching, design and run experiments using SQL and Python, deploy models to production with full MLOps capabilities, and partner cross-functionally with product, engineering, and operations to turn complex business problems into scalable machine learning solutions. With 4–8 years of applied data science experience, you will own meaningful ML initiatives from concept through to production — working in a fast-paced, high-expectation environment where your models directly drive business KPIs at one of EMEA’s leading PropTech companies.
Why This Role Matters: At Huspy, data science is not a support function — it is a core competitive weapon. Every valuation model you build, every multimodal embedding you create, and every experiment you ship directly influences how the UAE mortgage market operates and how property buyers across EMEA experience one of the most important financial decisions of their lives. Your ML models run in production at scale, creating real business value for agents, brokers, and homebuyers across multiple countries every single day.
Key Responsibilities
Real Estate Market Modeling & Valuation ML
- Build and continuously improve machine learning models applied to real estate market challenges including property valuation, pricing predictions, and market trend analysis — leveraging classic supervised ML through to more advanced deep learning and ensemble approaches tailored to the unique dynamics of the UAE and EMEA real estate markets
- Design and implement models that account for the complexities of real estate data — including location signals, seasonality effects, inventory fluctuations, and market dynamics that introduce noise, leakage risks, and data quality challenges requiring creative ML solutions
Multimodal Embeddings & Search Intelligence
- Create sophisticated vector representations of real estate entities — including property listings — by combining image data, unstructured text descriptions, and structured property attributes into powerful multimodal embeddings that power Huspy’s search, property matching, deduplication, and recommendation systems
- Leverage cutting-edge multimodal and vision ML techniques to extract meaningful signals from real estate images and listing content — building embedding models that dramatically improve the relevance and accuracy of property search and recommendation features within Huspy’s SuperApp
Data Analysis, Experimentation & Metrics
- Use Python and SQL to extract, clean, transform, and analyze large, complex real estate datasets — building reliable data pipelines that support model training, feature engineering, and ongoing analytical needs across Huspy’s UAE and international markets
- Design rigorous experiments to evaluate the real-world impact of new models and product features — defining robust success metrics, managing experiment execution, and clearly communicating results and tradeoffs to technical and non-technical stakeholders across the business
Model Operationalization & MLOps
- Ship trained ML models to production environments with full MLOps capabilities — including model monitoring, performance tracking, automated rollout management, CI/CD integration, reproducible training pipelines, and observability infrastructure built in partnership with Huspy’s engineering team
- Maintain and continuously improve deployed models — proactively detecting and responding to model drift, data quality degradation, and performance issues to ensure Huspy’s production ML systems remain accurate, reliable, and scalable as the business grows into new markets
Cross-Functional Partnership & Delivery
- Partner closely with Product, Engineering, and Operations teams to translate complex real estate business problems into well-defined, scalable ML solutions — acting as a bridge between data science methodology and practical product delivery
- Clearly communicate technical approaches, model limitations, experiment results, and strategic ML tradeoffs to both technical colleagues and non-technical business stakeholders — demonstrating strong ownership and the ability to scope, prioritize, and drive delivery independently
Qualifications & Requirements
Educational Requirements
- Bachelor’s degree in a STEM discipline — Computer Science, Mathematics, Statistics, Data Science, Engineering, or closely related field — is required. A Master’s degree in a relevant field is a strong plus for this applied ML role
Experience Requirements
- 4 to 8 years of proven, hands-on experience in applied data science and machine learning — with a clear track record of delivering ML models that have moved real-world KPIs in a product-centric or data-driven business environment
- Strong mastery of Python for data science — including proficiency in core frameworks such as Pandas, NumPy, and Scikit-learn — and strong SQL skills for complex data extraction, transformation, and analysis at scale
- Practical MLOps experience — including deploying and maintaining batch or real-time ML models, model versioning, CI/CD for machine learning, observability tooling, and reproducible model training pipelines in production environments
Preferred & Nice-to-Have Skills
- Software engineering experience — ability to write clean, production-quality code and collaborate effectively with engineering teams in a modern software development environment
- Multimodal and computer vision ML experience — prior work with image embeddings, vision transformers, or multimodal models combining images and text for search or recommendation applications
- Voice AI exposure — experience with Automatic Speech Recognition (ASR) or Natural Language Understanding (NLU) systems for real estate or customer-facing applications
Why Join Huspy in Dubai
Build at Scale: Your ML models run in production across the UAE mortgage market and expanding EMEA markets — real impact from day one
Series B Backed: $140M raised — the financial foundation and investor quality to execute ambitious growth plans with confidence
Global Expansion: Be part of Huspy’s expansion into Saudi Arabia and three new European markets in 2026 — rare career opportunity at a critical growth inflection point
World-Class Team: Work alongside engineers, product managers, and data scientists from the world’s top technology companies in Dubai’s most exciting PropTech environment
Category-Defining Mission: Reshape one of the world’s most traditional industries — real estate — through technology, data science, and a genuinely better homebuying experience
About Huspy
Huspy was launched in Dubai in 2020 with a clear and ambitious mission: to transform how property transactions happen — making them faster, smarter, and better for every participant in the process. Today, Huspy holds the largest share of the UAE mortgage market, operates across multiple cities in the UAE and Spain, and is actively expanding into Saudi Arabia and three additional European markets by 2026. The company has raised over $140 million from some of the world’s most respected technology investors — including Sequoia Capital, Founders Fund, and Balderton Capital — and has built a SuperApp that gives real estate agents and mortgage brokers the technology tools they need to win in one of the world’s most competitive and traditionally manual industries. The question Huspy asks every serious data science professional in Dubai is simple: will you be part of what’s next?
Note on Data Privacy: By submitting an application, candidates agree that their personal data will be collected, processed, and retained by Huspy solely for the purposes of managing and assessing their candidacy in accordance with applicable data protection regulations.
Who Should Apply?
- Applied Data Scientists with 4–8 Years: With a strong Python and SQL foundation, production ML delivery experience, and the ambition to work at one of EMEA’s most exciting Sequoia-backed PropTech companies in Dubai
- Real Estate or FinTech ML Engineers: With domain experience in property valuation models, pricing ML, or mortgage analytics looking to apply that expertise in a high-growth, internationally expanding technology company
- MLOps-Capable Data Scientists: Who have shipped ML models to production, managed CI/CD for machine learning, and know how to build reliable, scalable, monitored production ML systems from scratch
- Multimodal ML Specialists: With experience in vector embeddings, image-text multimodal models, or recommendation systems looking to apply cutting-edge techniques to the real estate domain in Dubai
- Dubai-Based or UAE-Relocating Data Scientists: Ready to join a fast-paced, high-expectation Series B startup where data science is a core business driver — not a support function
Recently opened JOBS 👇🏻
Data Scientist Jobs Dubai UAE 2026
Data Scientist Jobs Dubai 2026
Vegetable Lab Research Jobs Penn State 2026
