Data Scientist

We have partnered with a leading consumer-focused business in the UAE to hire a Data Scientist. This is a role for someone who is genuinely curious about why people buy what they buy. The business sits on a rich and growing pool of customer data, and this person will turn that data into a real understanding of buyer behaviour, intent and emerging trends. The insight you produce will shape commercial decisions at the highest level, so if you want your work to actually move the needle rather than sit in a dashboard nobody opens, this is worth a look.

This role suits a data scientist with strong commercial instincts who can bridge the gap between rigorous modelling and decisions the business can act on.

About the role:

• Build models that decode buyer mentality, purchase intent and behavioural trends, turning raw customer data into insight the business can act on
• Develop predictive and segmentation models that anticipate customer behaviour, identify emerging patterns and inform commercial strategy
• Work closely with commercial, marketing and product teams to frame the right questions and deliver answers that drive real decisions
• Translate complex analysis into clear, compelling narratives that resonate with non-technical stakeholders and senior leadership
• Design and run experiments that test hypotheses about customer behaviour and measure the impact of commercial decisions
• Contribute to the evolution of the data science function, bringing new techniques, tools and thinking into the team

About you:

• 5 years of experience in data science, with a track record of building models that have influenced real business decisions

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• Strong proficiency in Python and SQL, with hands-on experience across the full modelling lifecycle from exploration to deployment
• Solid grounding in machine learning techniques including classification, clustering, regression and forecasting
• Experience working with customer, behavioural or transactional data to understand and predict buyer behaviour
• Commercially minded, with the ability to connect analysis directly to revenue, retention and growth outcomes
• Strong communicator who can turn technical work into insight that non-technical stakeholders understand and trust
• Financial services or retail experience is strongly preferred