Senior Data Scientist: Forecasting, Pricing & GenAI

AlFuttaim; Dubai; On-site; AED 391,000 - 558,000; Full time

Job summary

Al-Futtaim Group is seeking a Senior Data Scientist - Forecasting and Pricing in Dubai. The role leads development of machine learning solutions to improve demand prediction, pricing decisions and customer analytics within Corporate Services and Group Technology and Digital Platforms.

Ideal candidates hold a master’s degree in a quantitative field and at least 10 years in data science, including 5+ years in forecasting, pricing and customer analytics.

Qualifications

• Master's degree in quantitative field.
• 10+ years in data science with 5+ years in forecasting and pricing.
• Experience with ARIMA, XGBoost, LSTM and OR models.
• Ability to explain complex modelling to non-technical stakeholders.

Responsibilities

• Build demand-forecasting models using traditional methods and ML.
• Apply ARIMA, XGBoost and LSTM to forecasting problems.
• Use Generative AI to simulate future demand scenarios.
• Develop dynamic pricing algorithms using demand, inventory and competitor data.
• Establish MLOps practices and Azure-based deployment.
• Collaborate with Marketing, Product and Sales to align analytics with business goals.

Skills

Python

SQL

Databricks

Microsoft Azure

Google Cloud Platform

Generative AI

MLOps

ARIMA forecasting

XGBoost

LSTM neural networks

Operations research modelling

Dynamic price optimisation

Customer lifetime value prediction

Clustering and customer segmentation

MAE and RMSE evaluation

Model deployment and monitoring

Automated model testing

Continuous integration and continuous/

Education

Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science or other quantitative discipline

Tools

Azure cloud platform

Google Cloud Platform

Databricks

Job description

Al-Futtaim Group is seeking a Senior Data Scientist - Forecasting and Pricing in Dubai. The role leads development of machine learning solutions to improve demand prediction, pricing decisions and customer analytics within Corporate Services and Group Technology and Digital Platforms.

Ideal candidates hold a master’s degree in a quantitative field and at least 10 years in data science, including 5+ years in forecasting, pricing and customer analytics.