Senior Data Scientist: GenAI-Driven Demand & Pricing

Al-Futtaim; Dubai; On-site; AED 450,000 - 800,000; Full time

Job summary

Al-Futtaim in Dubai seeks a Senior Data Scientist to lead advanced ML models for demand forecasting and pricing optimization. The role focuses on GenAI, MLOps, and cross-functional collaboration to deliver data-driven business value.

You will design forecasting models, deploy dynamic pricing, and collaborate with marketing and product teams to align analytics with strategic goals in a cloud-enabled environment.

Qualifications

• Master's degree in a quantitative field.
• 10+ years data science experience, 5+ years in demand forecasting, pricing, and customer analytics.
• Proficient with ARIMA, XGBoost, LSTM, and OR models.

Responsibilities

• Design, develop, and deploy demand forecasting models using traditional and ML techniques (ARIMA, XGBoost, LSTM).
• Leverage GenAI to enhance forecast accuracy by simulating future demand scenarios.
• Implement dynamic pricing using advanced algorithms based on demand, inventory, and competitor data.
• Analyze customer behaviour with clustering and CLV modelling to drive personalised pricing.
• Monitor model performance with MAE, RMSE, and precision/recall; refine for robustness.
• Apply MLOps including versioning, pipelines, and automated tests for scalable deployment.
• Collaborate with marketing, product, and sales to align forecasts with business goals.
• Deploy and scale models on Azure with CI/CD and monitoring tools.

Skills

ML model development

Generative AI

MLOps

Cross-functional collaboration

Education

Master's degree in Statistics/Data Science/ML/Math/CS

Tools

Python

SQL

Databricks

Azure

GCP

Job description

Al-Futtaim in Dubai seeks a Senior Data Scientist to lead advanced ML models for demand forecasting and pricing optimization. The role focuses on GenAI, MLOps, and cross-functional collaboration to deliver data-driven business value.

You will design forecasting models, deploy dynamic pricing, and collaborate with marketing and product teams to align analytics with strategic goals in a cloud-enabled environment.