Data Scientist at Huspy in Dubai | AI & Machine Learning Jobs | May 2026

Data Scientist at Huspy in Dubai | AI & Machine Learning Jobs | May 2026

Are you looking for an exciting opportunity in AI & Machine Learning? Huspy is actively hiring a Data Scientist in Dubai, Dubai, United Arab Emirates. This is a great opportunity for professionals with experience in ai & machine learning to advance their careers with a reputable organization.

About the Role

Huspy is seeking a dynamic and skilled Data Scientist to join their team in Dubai, Dubai, United Arab Emirates. As a full-time position, this role offers the chance to make a significant impact within the organization while working alongside an experienced team. The ideal candidate will bring mid-senior level expertise and a passion for delivering results in the ai & machine learning field.

Key Responsibilities

  • The Story So Far: We’re Building a Global Brand in Real Estate Huspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026
  • 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 cutting‑edge technology to one of the world’s most traditional industries
  • We’re transforming how property transactions happen — faster, smarter, and better for everyone.We’re not slowing down
  • The question is: will you be part of what’s next? 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

Skills Required

  • The Story
  • Far
  • Building
  • Global Brand
  • Real Estate
  • Huspy
  • EMEA.Launched
  • UAE

Preferred Qualifications

  • Bachelor’s degree in a relevant field (or equivalent practical experience)
  • Mid-Senior level experience in ai & machine learning or a closely related field
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Proven ability to work in a fast-paced, dynamic environment
  • Experience working in the UAE or GCC region is a plus

Why Consider This Role

Joining Huspy as a Data Scientist means becoming part of a forward-thinking team that values talent and innovation. Located in Dubai, Dubai, United Arab Emirates, you’ll be working in one of the world’s most dynamic business hubs. This role offers competitive compensation, professional growth opportunities, and exposure to international best practices in ai & machine learning.

How to Increase Your Chances of Getting Selected

Resume Tips

  • Tailor your resume specifically for the Data Scientist role — mirror keywords from the job description
  • Quantify achievements (e.g., “Increased revenue by 30%”, “Managed a team of 10”)
  • Keep your resume to 1–2 pages, clean format, ATS-friendly fonts
  • Add a strong summary statement at the top with your years of experience and specialization

ATS Keywords to Include

Make sure your CV includes these relevant keywords: The Story, Far, Building, Global Brand, Real Estate, Huspy, Dubai, Full-time, AI & Machine Learning

Interview Preparation

  • Research Huspy’s background, products/services, and recent news
  • Prepare examples using the STAR method (Situation, Task, Action, Result)
  • Be ready to discuss UAE market dynamics and how they apply to your role
  • Ask thoughtful questions about team culture, KPIs, and growth opportunities

How to Apply

Click the button below to view the full job details and submit your application directly on LinkedIn. Make sure your profile is updated and your resume is tailored to this role before applying.

Apply Now on LinkedIn


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