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- Tasks: Lead data science initiatives to drive smarter commercial decisions and client growth.
- Company: Join Property Finder, a leading tech unicorn in the MENA region.
- Benefits: Highly competitive, tax-free salary, relocation assistance, and a vibrant work culture.
- Other info: Dynamic role with opportunities for personal and professional growth.
- Why this job: Make a real impact in a fast-paced environment while shaping the future of property tech.
- Qualifications: 10+ years in Data Science, strong analytical skills, and team management experience.
The predicted salary is between 72000 - 108000 £ per year.
DUBAI BASED ROLE. Relocation would be required but with a highly competitive, tax-free salary package and relocation assistance.
Company Profile: Property Finder is the leading online Property Portal / Marketplace in the MENA region and a Tech Unicorn. A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, and Egypt. The company is one of the lighthouse tech startups in the MENA region.
Role Summary: Within the Commercial Finance function, Property Finder is looking for a Head of Data Science (Finance) to lead advanced analytics and data science initiatives that enable smarter commercial decisions, client growth, and monetization outcomes. This role will partner closely with Commercial, Analytics, and Finance teams to deeply understand problem statements, translate them into analytical frameworks, and deliver scalable, data-driven solutions across pricing, product, and sales effectiveness. The role combines hands-on analytical depth and business partnership, with a strong focus on moving from insight to action.
Key Responsibilities:
- Own end-to-end problem solving: frame business problems, deep dive into data, build analytical models, and recommend actionable solutions.
- Drive advanced analytics and data science use cases including:
- Client performance diagnostics and opportunity sizing
- Pricing, packaging, and monetization optimization
- Sales productivity and effectiveness analytics
- Cohort, behavioral, and revenue analysis
Desired Qualifications:
- 10+ years of work experience in Data Science or Analytics
- Masters / PhD preferred but not essential
- Team management experience in a fast-paced, impact-oriented organization.
- SQL and Tableau knowledge is a plus
- Ability to create presentations for Executive audiences that tell a storyline
- Exceptional analytical and quantitative problem-solving skills
- Exceptional written and verbal communication skills with experience in presenting technical content to clients and non-technical audiences
- Having an eye on detail, immediately picking up issues and data quality problems.
- Fluency in English
Our promise to talent: At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
Property Finder Guiding Principles:
- Think Future First
- Data Beats Opinions, Speed Beats Perfection
- Our People, Our Power
- The Biggest Risk is Taking no Risk at All
Head of Data Science - Finance (Based in Dubai) employer: Property Finder
Contact Detail:
Property Finder Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science - Finance (Based in Dubai)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects and analytics work. This is your chance to demonstrate your hands-on experience and problem-solving abilities, which are crucial for the Head of Data Science role.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s data practices. Understand their challenges and think about how you can contribute. Tailor your responses to show how your experience aligns with their needs, especially in pricing and monetization.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining Property Finder and being part of our mission to change living for good in the region.
We think you need these skills to ace Head of Data Science - Finance (Based in Dubai)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Data Science role. Highlight your experience in data science and analytics, especially in finance. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how you can contribute to our mission at Property Finder. Keep it engaging and relevant!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical prowess. Share specific examples of how you've solved complex problems or driven data-driven decisions in your previous roles. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Property Finder
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in finance. Be ready to discuss advanced analytics, SQL, and any relevant tools like Tableau. Prepare to showcase your problem-solving skills with real-world examples that demonstrate how you've tackled complex data challenges.
✨Understand the Business
Dive deep into Property Finder's business model and the MENA property market. Familiarise yourself with their key challenges and opportunities. This will help you frame your answers in a way that shows you understand how data science can drive commercial decisions and client growth.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your analytical thinking. Practice framing business problems, diving into data, and recommending actionable solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Communicate Clearly
Since you'll be presenting to both technical and non-technical audiences, practice translating complex data findings into simple narratives. Think about how you would explain your insights to someone without a data background. Clear communication is key to making an impact in this role.