The Story So Far: We're Building a Global Brand in Real Estate

Huspy is one of the leading property technology companies in EMEA.Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we've entered.We've raised over $140 million (Series A and Series B) from the world's top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.

We've built a SuperApp that empowers real estate agents and mortgage brokers, bringing cuttingedge technology to one of the world's most traditional industries. We're transforming how property transactions happen — faster, smarter, and better for everyone.The Main Event: What You'll Drive, Build, and Own

Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.

Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.

Data Analysis & Experimentation: Use SQL/Python to extract, clean,



and analyze data; design experiments and evaluate model-product impact with robust metrics.

Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).

Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.

Proven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs.

SQL & Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.

Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.

Explicit with technical/non-technical stakeholders; Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).

Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.

Academic Background: Bachelor's in STEM (Master's a plus).

📌 Data Scientist (Python, ML, SQL) (India)
🏢 Huspy
📍 India