Data Science Manager: Demand Forecasting & AI

Majid Al Futtaim; Dubai; On-site; AED 300,000 - 420,000; Full time

Benefits offered by this job

Friendly environment

Over 45,000 colleagues

Leadership Model

Job summary

Majid Al Futtaim is seeking a Data Science Manager for MAF LifeStyle to own demand forecasting, sensing, planning and customer segmentation for UAE, KSA, Kuwait, Qatar and Bahrain. You will partner with brand owners and planning teams to translate insights into commercial action.

The role focuses on building scalable ML models, leveraging Azure/Microsoft Fabric, dashboards with Power BI and driving measurable business impact across a multi-brand retail portfolio.

Qualifications

• Background in retail, fashion, or lifestyle preferred.
• Experience in GCC/MENA markets is advantageous.
• Advanced degree is a strong plus.

Responsibilities

• Own end-to-end demand forecasting across SKU, category, and brand levels.
• Lead demand sensing using real-time POS, digital, and macro signals.
• Translate forecasts into OTB, replenishment, markdown optimization, and NPI strategies.
• Design customer segmentation models (RFM, CLV, behavioral) for marketing and loyalty.
• Identify high-impact AI use cases across pricing, assortment, promotions, churn, store clustering, and next-best-action.
• Drive adoption of NLP and conversational AI initiatives and multilingual text analytics.
• Build and scale production-grade ML solutions on Azure/Microsoft Fabric with pipelines and monitoring.

Skills

Retail experience

GCC/MENA markets

ML & forecasting

Education

Advanced degree in related topics

Tools

Azure/Microsoft Fabric

Power BI

Job description

Majid Al Futtaim is seeking a Data Science Manager for MAF LifeStyle to own demand forecasting, sensing, planning and customer segmentation for UAE, KSA, Kuwait, Qatar and Bahrain. You will partner with brand owners and planning teams to translate insights into commercial action.

The role focuses on building scalable ML models, leveraging Azure/Microsoft Fabric, dashboards with Power BI and driving measurable business impact across a multi-brand retail portfolio.