Manager Data Science - Operations

AlFuttaim; Dubai; On-site; AED 260,000 - 480,000; Full time

Job summary

Al-Futtaim in Dubai invites a Manager Data Science - Operations to lead AI initiatives focused on operational efficiency and business decisions. The role requires hands-on ML, forecasting, and analytics with strong collaboration across operations, business, and technology teams.

The successful candidate will translate complex analyses into actionable recommendations, manage data science projects, and drive measurable commercial outcomes within a dynamic automotive ecosystem.

Qualifications

• Minimum 4-5 years of experience in analytics or data science.
• Bachelor's or master's degree in Computer Science, Statistics, Data Science, or related field.
• Strong hands-on expertise in advanced statistics and machine learning.
• Knowledge of time series, forecasting, regression, classification, clustering, and anomaly detection.

Responsibilities

• Deliver AI and data science use cases to improve operational performance.
• Build and implement predictive models (price elasticity, residual value, predictive maintenance, churn, anomaly detection).
• Develop KPI metrics and reporting systems using statistics and visualization.
• Translate analytical findings into practical recommendations for cross-functional stakeholders.
• Lead and support data scientists to deliver high-quality analytics solutions on time.

Skills

Python

SQL

Machine Learning

Forecasting

Time Series

Databricks

NLP

Education

Bachelor/Master in CS/Statistics/Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Manager Data Science - Operations Job Snapshot Role: Manager Data Science - Operations Location: Dubai, United Arab Emirates Industry: Automotive Function: Data Science Experience: Minimum 4-5 years Job Type: Full-time Position Overview Al-Futtaim is hiring a Manager Data Science - Operations to join its Digital Technology and Customer Experience team in Dubai, United Arab Emirates. The role will lead and deliver AI and data science initiatives focused on operational efficiency, advanced analytics, business decision-making, and measurable commercial outcomes. The position requires hands-on expertise in machine learning, predictive modelling, statistical analysis, forecasting, and modern data platforms, together with the ability to translate complex analytical findings into practical recommendations.

Country: United Arab Emirates City: Dubai Industry: Automotive Function: Data Science Salary: Not disclosed Gender: No Preference Candidate Nationality: Not specified Job Type: Full-time

What you will do

• Deliver AI and data science use cases designed to improve operational performance across the business.
• Build and implement predictive models covering price elasticity, residual value prediction, predictive maintenance, customer churn, and anomaly detection.
• Develop KPI metrics and reporting systems using statistical process control and data visualization techniques.
• Apply statistical analysis, hypothesis testing, and machine learning methods to identify patterns and generate actionable business insights.
• Use forecasting, regression, classification, clustering, time series analysis, and anomaly detection techniques according to business requirements.
• Partner with cross-functional teams and business stakeholders to translate complex analytical findings into clear and practical recommendations.
• Lead and support data scientists in delivering high-quality analytics solutions within agreed timelines.
• Communicate technical findings effectively to non-technical stakeholders and decision-makers.

Required Skills and Experience

• Minimum 4-5 years of experience in customer analytics, finance analytics, operations analytics, or data science.
• Bachelor 's or master 's degree in Computer Science, Statistics, Data Science, or a related field.
• Strong hands-on expertise in advanced statistics and machine learning.
• Practical knowledge of time series analysis, forecasting, regression, classification, clustering, and anomaly detection.
• Strong proficiency in Python and SQL.
• Experience working with Databricks.
• Knowledge of machine learning frameworks and libraries including scikit-learn, TensorFlow, and PyTorch.
• Experience with ARIMA, SARIMA, and Prophet for forecasting applications.
• Knowledge of Natural Language Processing techniques.
• Proven experience delivering machine learning and advanced analytics solutions within a business environment.
• Ability to work effectively across functions and manage multiple stakeholders.
• Strong capability to convert data science outputs into practical business insights and recommendations.

Data Science and Technology Expertise The role requires experience with data visualization tools and libraries including Matplotlib, Seaborn, Plotly, and Bokeh. Candidates should also have a good understanding of MLOps, Git, big data technologies such as Spark, and optimization techniques. Strong problem-solving, critical thinking, project management, and stakeholder management capabilities are important, together with the ability to explain sophisticated analytical concepts clearly to business audiences.

About the Team

The position sits within Al-Futtaim 's Digital Technology and Customer Experience team and works closely with operations, business, and technology stakeholders. The team applies data, advanced analytics, and AI to business challenges with the aim of improving operational efficiency and enabling stronger customer and commercial outcomes.

About the Company

Al-Futtaim is a privately held regional business headquartered in Dubai, with operations spanning automotive, financial services, real estate, retail, and health. Al-Futtaim Automotive operates across eight countries in the Middle East, Asia, and North Africa and represents a portfolio of more than 25 automotive brands. Its mobility capabilities cover passenger and commercial vehicles, industrial equipment, logistics, leasing, aftersales, and financial services.