Data Scientist | Corporate Services | Group Tech & Dig Platforms

Job Requisition ID: 174624

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

Overview Of The Role:

• The Data Scientist role at Al-Futtaim is centered on designing, building, and productionizing advanced analytics and GenAI-powered solutions. The purpose of the role is to enhance insights, recommendations, and decision-making across enterprise platforms. Success is measured by the ability to develop scalable, reliable machine learning and GenAI models that meet enterprise standards of governance, security, and compliance. The incumbent will collaborate with cross-functional teams to deliver impactful data-driven insights.
  
  

What You Will Do:

Advance Analytics & Data Science

• Translate business problems into data science, statistical, and machine learning solutions that drive measurable outcomes across enterprise use cases.
• Perform data exploration, feature engineering, model development, and evaluation on large-scale structured and semi-structured datasets.
• Build and deploy predictive, prescriptive, and descriptive models, ensuring interpretability, robustness, and alignment with business objectives.
• Partner closely with business, product, and analytics teams to validate assumptions, define success metrics, and deliver actionable insights.
  
  

Applied GenAI & LLM Enablement

• Apply GenAI techniques to augment data science workflows, including LLM-based insight generation, summarization, classification, and decision support.
• Design and implement Retrieval-Augmented Generation (RAG) solutions to ground LLM outputs in enterprise data and analytical results.
• Collaborate on GenAI-enabled analytical applications with a focus on accuracy, relevance, and explainability.
• Evaluate and benchmark GenAI outputs using quantitative and qualitative metrics, ensuring alignment with business and analytical standards.
  
  

Enterprise Productionization & MLOps/ LLMOps

• Productionize data science and GenAI models using enterprise-grade MLOps / LLMOps practices, including versioning, deployment, monitoring, and retraining strategies.
• Build scalable, secure, and reliable analytical pipelines in collaboration with Data Engineering and Cloud teams.
• Monitor model performance, data drift, and GenAI output quality, and drive continuous improvements based on real-world usage.
• Ensure solutions meet enterprise requirements for governance, security, compliance, and responsible AI.
  
  

Performance Measurement & Continuous Improvement

• Define and track model and GenAI performance metrics (accuracy, stability, bias, latency, business impact).
• Run experiments and controlled rollouts to optimize models, GenAI prompts, and retrieval strategies.
• Continuously enhance solutions through feedback loops, experimentation, and evolving business needs.
  
  

Required Skills To Be Successful:

• Strong foundation in statistics, machine learning, and applied data science.
• Proficiency in Python, SQL, and Spark with expertise in data processing and analytical pipelines.
• Hands-on experience with the Databricks ecosystem for deploying data science and GenAI solutions.
• Practical exposure to MLOps / LLMOps practices, including model versioning and monitoring.
  
  

About The Team

This role reports to Data Science Lead

What Equips You For The Role:

• 8+ years of experience in Data Science / AI Engineering, focusing on building and deploying machine learning models, including supervised, unsupervised, and time-series models.
• 6+ years of experience in feature engineering, model evaluation, and performance optimization.
• 4+ years of experience with NLP or language-based systems, including text classification, information extraction, and semantic modeling.
• 2+ years of experience in delivering GenAI or conversational AI solutions in production, focusing on applied LLM use cases, RAG, and enterprise deployment.
  
  

About Al-Futtaim Group Real Estate

The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years.

Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us.

AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.

About Al-Futtaim Malls

Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.

Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper’s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.

Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall’s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.

For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/

About Al-Futtaim Engineering & Technologies

Al-Futtaim Engineering & Technologies offers customers complete engineering and systems integration solutions.

The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation.

The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services.

These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.