Data Scientist

Role Overview

We have partnered with a leading consumer-centric company based in the UAE to recruit a Data Scientist. This position suits a candidate eager to uncover the reasons behind purchasing decisions. The company has an extensive and expanding customer data repository, and your role will be to transform this data into meaningful insights about buyer psychology, intent, and emerging trends. The insights you generate will directly impact high-level commercial strategies, ensuring your analyses drive measurable results rather than gathering dust in unused dashboards.

Key Responsibilities

• Create models that interpret consumer mindset, intentions behind purchases, and behavioral trends, converting unprocessed customer information into actionable intelligence.
• Develop predictive and segmentation frameworks to forecast customer actions, recognize new patterns, and guide commercial planning.
• Collaborate extensively with commercial, marketing, and product teams to formulate pertinent questions and provide solutions that influence decision-making.
• Translate complex data analyses into clear, persuasive stories that non-technical audiences and senior executives can understand and act upon.
• Design and implement experimental tests to validate hypotheses about customer behaviors and evaluate the effectiveness of business strategies.
• Support the growth of the data science division by introducing innovative methods, technologies, and perspectives.

Candidate Profile

• Minimum of five years of experience in data science with proven success in constructing models that have impacted business decision-making.
• Expertise in Python and SQL, with practical experience covering the complete modeling process from initial data exploration to deployment.
• Strong foundation in machine learning methods such as classification, clustering, regression, and forecasting.
• Experience analyzing customer, behavioral, or transactional datasets to decode and predict consumer purchasing behaviors.
• A commercially driven mindset, capable of linking analytical outcomes directly to metrics like revenue growth, client retention, and profitability.
• Exceptional communication skills to convert technical findings into meaningful insights trusted by non-technical colleagues and leadership.
• Preferred background in financial services or retail sectors.