
Property Finder
Head of Data Science (Finance)
- Permanent
- Dubai, United Arab Emirates
- Experience 10 - 15 yrs
Job expiry date: 02/05/2026
Job overview
Date posted
18/03/2026
Location
Dubai, United Arab Emirates
Salary
AED 40,000 - 50,000 per month
Compensation
Comprehensive package
Experience
10 - 15 yrs
Seniority
Senior Manager
Qualification
Masters degree
Expiration date
02/05/2026
Job description
The Head of Data Science (Finance) at Property Finder leads advanced analytics and data science initiatives to support smarter commercial decisions, client growth, and monetization outcomes within the Commercial Finance function. This role partners closely with Commercial, Analytics, and Finance teams to understand problem statements, translate them into analytical frameworks, and deliver scalable, data-driven solutions across pricing, product, and sales effectiveness. The position requires end-to-end problem ownership including framing business problems, deep data exploration, building analytical models, and recommending actionable solutions. Responsibilities include advanced analytics use cases such as client performance diagnostics, opportunity sizing, pricing and monetization optimization, sales productivity analytics, cohort and behavioral analysis, and revenue analysis. The role supports the evaluation of pricing and product initiatives through data, experimentation, and impact measurement while driving evolution of analytical tools and frameworks. Maintaining data quality, analytical rigor, and interpretability is critical. The Head of Data Science translates complex findings into clear narratives for senior stakeholders and non-technical audiences, delivers dashboards, models, and insights, and provides ad-hoc analytics for client engagements and strategic decision-making. Fluency in English, strong analytical and quantitative skills, and experience presenting technical content to executive audiences are required.
Required skills
Key responsibilities
- Own end-to-end problem solving: frame business problems, explore data deeply, build analytical models, and provide actionable recommendations
- Drive advanced analytics and data science use cases including client performance diagnostics, opportunity sizing, pricing and monetization optimization, sales productivity, cohort, behavioral, and revenue analysis
- Partner with Commercial and Monetization teams to evaluate pricing and product initiatives using data, experimentation, and impact measurement
- Lead the evolution and improvement of analytical tools, frameworks, and dashboards to adapt to changing market conditions and commercial team needs
- Ensure high standards of data quality, analytical rigor, and interpretability, proactively identifying inconsistencies and risks
- Translate complex analytical findings into clear, executive-ready narratives and recommendations for senior stakeholders and non-technical audiences
- Support ad-hoc deep dives and client engagements requiring advanced analytics to explain performance drivers and improvement levers
- Deliver analytical outputs including models, dashboards, and insights to support Finance and Strategy decision-making across the organization
Experience & skills
- 10+ years of work experience in Data Science, Analytics, or related fields within fast-paced, impact-oriented organizations
- Masters or PhD degree preferred but not essential
- Proven experience in team management and leading data science projects
- Proficiency in SQL and Tableau, with ability to build dashboards and analytical tools
- Strong analytical and quantitative problem-solving skills with exceptional attention to detail and data quality
- Ability to create executive presentations and tell a clear data-driven storyline
- Exceptional written and verbal communication skills for presenting technical content to clients and non-technical audiences
- Fluency in English with strong business and stakeholder communication capabilities
- Demonstrated ability to translate complex data insights into actionable business recommendations