Head of Data Science (Finance)

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

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

• Work closely with the Monetization team to evaluate pricing and product initiatives using data, experimentation, and impact measurement.

• Lead the evolution of analytical tools and frameworks, ensuring they adapt to market conditions and Commercial Team needs.

• Maintain a high bar for data quality, analytical rigor, and interpretability, proactively identifying inconsistencies and risks.

• Translate complex analytical findings into clear narratives and recommendations for senior stakeholders and non-technical audiences.

• Support ad-hoc deep dives and client engagements where advanced analytics is required to explain performance drivers and improvement levers.

• Own delivery of analytical outputs (models, dashboards, insights) that support broader Finance and Strategy decision-making.

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

• Optimise for Impact

• No Ostriches Allowed

• Our People, Our Power

• The Biggest Risk is Taking no Risk at All

Find us at:

Twitter

Facebook

Instagram

Linkedin

Glassdoor