32 Machine Learning Specialist jobs in the United Arab Emirates

Data Science Intern

New
Dubai, Dubai Merck Gruppe - MSD Sharp & Dohme

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Job Description

Data Science Intern

Jan, – July, (Dubai)

Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive, multi-skilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world’s most challenging healthcare needs.

What are the benefits for you as an Intern?

Being an intern at our company means you will get the opportunity to develop yourself within one of the worlds leading healthcare companies:

  • Gain hands on experience within the pharmaceutical industry
  • Ability to grow your potential and be part of a diverse team of employees
  • Work within a challenging and dynamic work environment
  • Gain strong analytical and problem solving skills

Your responsibilities

  • As a member of the Commercial Operations department and of the Data team you will have the opportunity to support on the development and coding of new advanced models and use cases in order to deliver actionable insights to the business.
Your profile
  • Fluency in English
  • Ability to work 30-40 hours per week
  • Graduating in Q3 2026 or later
  • Education in Tech and Computer Science is preferable
  • Skills in programming, proficient in Python, preferred experience in Data Analytics tools like Dataiku
  • Strong analytical mindset, structured and organized, proactive & striving for excellence, self-driven with efficient reporting capability

What we offer?

  • Hybrid work format
  • Buddy and mentor support during your journey
  • Learning opportunities.

Required Skills:

  • Clinical Research
  • Cloud Data Catalog
  • Computer Science
  • Data Analysis
  • Database Management
  • Data Science
  • Data Security
  • Data Visualization
  • Data Wrangling
  • Detail-Oriented
  • Event Planning
  • Key Performance Indicators (KPI)
  • Machine Learning
  • Project Management
  • Python (Programming Language)
  • Software Proficiency
  • Statistics
  • Vendor Relationship Management

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Intern/Co-op (Fixed Term)

Job Posting End Date: 10/23/2025

Requisition ID: R

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Director Data Science

Michael Page

Posted 25 days ago

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Job Description

The Role
As Head of Data Science, you'll be responsible for setting the vision, strategy, and technical roadmap for all data science initiatives. You'll lead the design of models, analytics platforms, and AI-driven insights that directly influence investment decisions across diverse asset classes. This role blends leadership with hands-on delivery, requiring both strategic thinking and technical depth. Client Details An oranisation that is embarking on a transformative journey to embed data-driven decision-making at the heart of its investment strategy. Description * Establish and scale a new Data Science function, defining tools, frameworks, and best practices from scratch. * Build predictive and prescriptive models to support investment decision-making, portfolio optimisation, and risk management. * Design and implement data acquisition, cleansing, and enrichment pipelines for internal and external financial datasets. * Work closely with investment teams to translate business objectives into analytical and AI/ML solutions. * Recruit, mentor, and develop a high-performing team of data scientists and engineers. * Ensure all models and analytics meet rigorous governance, compliance, and ethical standards. * Stay ahead of emerging technologies to drive continuous innovation in the investment analytics space. Job Offer * The freedom and resources to build a cutting-edge Data Science capability from scratch. * Direct impact on high-value investment decisions. * Collaborative, visionary environment with long-term growth potential.

Requirements
* Advanced degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * 12 years combined experience, with at least 7 years of experience in Data Science roles, including leadership in building or scaling teams. * Proven track record in developing investment analytics, financial modelling, or quantitative research solutions. * Proficiency in Python, R, or similar languages, and familiarity with relevant ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Experience with cloud-based data platforms and big data tools. * Strong business acumen in financial services, asset management, or investment strategy. * Excellent stakeholder management skills, with the ability to influence senior leadership.

About the company
Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world. The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of: Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.
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Lead Data Science Researcher

New
Dubai, Dubai Open Data Science

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Job Description

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Contacts

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Senior Specialist - Data Science

New
Abu Dhabi Commercial Bank

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Job Description

Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

Responsibilities
  • Develop and Implement advanced data science solutions to support the organization’s AI strategy
  • Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
  • Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
  • Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
  • Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
  • Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
  • Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
  • Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
  • Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
  • Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
  • Strong knowledge of banking operations and terminologies
  • Analyses complex banking products and services for facilitating decision-making
  • Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
  • Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
  • Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions
Qualifications
  • Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
  • Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
  • Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
  • Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
  • Master’s degree or equivalent in AI/ML is preferred
  • N/A
  • Advanced Python for AI/ML development and data manipulation
  • Strong statistical expertise and experimental design (A/B testing, inference)
  • Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
  • Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
  • Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
  • Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
  • Strong data visualization skills (Tableau, Power BI) with UX-focused design
  • Effective collaboration with engineering teams and cross-functional stakeholders
  • Knowledge of CI/CD, containerization, and documentation standards
  • Active learner with awareness of emerging AI trends and technologies
What we offer

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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Senior Specialist - Data Science

New
Abu Dhabi, Abu Dhabi Abu Dhabi Commercial Bank

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Job Description

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

In this role, your key responsibilities include:

  • Develop and Implement advanced data science solutions to support the organization’s AI strategy
  • Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
  • Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
  • Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
  • Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
  • Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
  • Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
  • Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
  • Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
  • Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
  • Strong knowledge of banking operations and terminologies
  • Analyses complex banking products and services for facilitating decision-making
  • Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
  • Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
  • Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

  • Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
  • Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
  • Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
  • Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
  • Master’s degree or equivalent in AI/ML is preferred
  • N/A
  • Advanced Python for AI/ML development and data manipulation
  • Strong statistical expertise and experimental design (A/B testing, inference)
  • Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
  • Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
  • Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
  • Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
  • Strong data visualization skills (Tableau, Power BI) with UX-focused design
  • Effective collaboration with engineering teams and cross-functional stakeholders
  • Knowledge of CI/CD, containerization, and documentation standards
  • Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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Senior Data Science Engineer

Dubai, Dubai Antons Recruitment Agency

Posted 26 days ago

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Job Description

We are seeking a Senior Data Science Engineer with expertise in building and operationalizing production-grade machine learning pipelines . The ideal candidate will have hands-on experience with MLFlow, Databricks, and Azure ML , and a strong background in developing ML solutions for healthcare predictive use cases . This role will be central to embedding ML models into enterprise data workflows and ensuring their ongoing performance.

Key Responsibilities
  • ML Pipeline Engineering : Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.

  • Model Development : Develop and optimize ML models, particularly for healthcare predictive analytics .

  • Integration : Embed ML models into KPI-driven data processing and analytics workflows .

  • Model Lifecycle Management : Implement model monitoring, drift detection, retraining, and continuous improvement strategies.

  • Collaboration : Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.

Key Skills & Experience
  • 6+ years of experience in machine learning engineering or applied data science .

  • Hands-on expertise with MLFlow, Databricks, and Azure ML .

  • Strong experience in developing and deploying predictive ML models , ideally within healthcare.

  • Proficiency in Python, SQL, PySpark , and modern ML frameworks (TensorFlow, PyTorch, or Scikit-learn).

  • Knowledge of model monitoring, drift detection, and automated retraining strategies .

  • Familiarity with cloud-native ML architectures and CI/CD for ML (MLOps).

  • Strong problem-solving and collaboration skills with a focus on production-grade delivery.

Why Join Us?
  • Work on cutting-edge healthcare predictive analytics solutions .

  • Gain exposure to enterprise-scale ML pipelines on modern platforms.

  • Opportunity to drive end-to-end ML lifecycle ownership .

  • Competitive compensation and career growth in a fast-growing data-driven organization.

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Data science trainer - Big Data Fundamentals

New
Abu Dhabi, Abu Dhabi Eton Institute

Posted today

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Job Description

We are looking for an experienced freelance trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

Course Overview

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

  • Understanding big data concepts and architecture
  • Overview of data processing frameworks (e.g., Hadoop, Spark)
  • Data storage, management, and analytics fundamentals
  • Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

Trainer Requirements
  • Qualification in Data Science, Computer Science, IT, or related field
  • Minimum 5 years of professional or training experience in data analytics or big data technologies
  • Strong communication and facilitation skills
  • Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

  • Updated CV or professional profile
  • Relevant training experience
  • Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)
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Data science trainer - Big Data Fundamentals

51133 Abu Dhabi, Abu Dhabi Eton Institute

Posted 18 days ago

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Course Title: Big Data FundamentalsLocation: Eton Abu Dhabi, Yas IslandDates: 3 days workshop

We are looking for an experienced Freelance Trainer to conduct a 3-day workshop on Big Data Fundamentals  for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

Course Overview:

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

Understanding big data concepts and architecture

Overview of data processing frameworks (e.g., Hadoop, Spark)

Data storage, management, and analytics fundamentals

Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

Trainer Requirements:

Qualification in Data Science, Computer Science, IT, or related field

Minimum 5 years of professional or training experience in data analytics or big data technologies

Strong communication and facilitation skills

Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

Updated CV or professional profile

Relevant training experience

Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

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Senior Manager - Data Science & AI

New
Dubai, Dubai Dubai Aviation Corporation

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Overview

MAIN OBJECTIVE OF ROLE To define and drive the enterprise strategy for extracting business value from data by leveraging advanced analytics, machine learning, and artificial intelligence to generate insights, develop predictive models, foster AI innovation, and integrate ethical and scalable AI into products, services, and decision-making processes that deliver competitive advantage.

Responsibilities
  • Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.
  • Drives continuous process improvement and optimization by staying informed about advancements in data engineering and AI, recommending new tools and technologies.
  • Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.
  • Develops and executes the organization’s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.
  • Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.
  • Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.
  • Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.
  • Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.
  • Defines KPIs and tracks ROI for AI initiatives to ensure value delivery and continuous improvement.
  • Acts as a “data translator,” bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.
Qualifications
  • Bachelor's Degree (3+ years)
  • Degree in Information Technology, Computer Science, Data Science, or related field
  • Fluent in English
  • Deep understanding of data governance, compliance, and security best practices. Excellent understanding of machine learning concepts and algorithms. Proven track record of delivering AI solutions from concept to production at enterprise scale. Strong background in statistical modeling, machine learning, deep learning, and AI productization. Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI. Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices.
  • Years with qualifications: 10 - 12 years
  • Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage
Competencies
  • Customer Focus
  • Teamwork
  • Effective Communication
  • Personal Accountability & Commitment to achieve
  • Resilience & Flexibility (Can do attitude)
  • Decision Making
  • Inspiring & Developing Others
  • Strategic Thinking
  • Business Acumen
ISR REQUIREMENTS

Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.

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Data Science Manager - Customer | Al-Futtaim Automotive

New
Dubai, Dubai Robinson & Co (Singapore) Pte Ltd

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Data Science Manager - Customer | Al-Futtaim Automotive

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
As a Data Science Manager (Customer) at Al-Futtaim Automotive, you will lead customer-centric AI and advanced analytics initiatives that drive marketing performance and enhance the customer experience. This role focuses on building predictive models, customer insights, and hyper-personalization solutions that create measurable business impact.

What you will do

  • Build and deploy predictive models such as lead scoring, precision marketing, marketing attribution, customer segmentation, and hyper-personalization.
  • Standardize and optimize marketing performance KPIs across brands using advanced statistical methods and data visualization.
  • Deliver actionable customer insights through cohort analysis, customer lifetime value modelling, churn prediction, and campaign performance analysis.
  • Collaborate with stakeholders to identify, define, and prioritize high-impact use cases supported by data-driven business cases.
  • Lead and mentor a team of data scientists to deliver scalable AI/ML solutions that directly improve marketing ROI and customer experience.

Required skills to be successful

  • Advanced knowledge of ensemble methods, gradient boosting, uplift modelling, and multi-arm bandits for marketing optimization.
  • Expertise in attribution models (Markov chains, Shapley values), clustering techniques, recommender systems, and hyper-personalization.
  • Proficiency in NLP, reinforcement learning, cohort analysis, lifetime value modelling, and churn prediction.
  • Strong problem-solving skills and the ability to translate complex data science solutions into business value.
  • Excellent stakeholder management, communication, and project management capabilities.

About the team
You will report to the Head of Customer Data Science and lead a small team comprising a Data Science Manager and Data Scientists. The team plays a pivotal role within the Finance Department at Al-Futtaim Automotive, driving innovation in customer analytics and marketing science.

What equips you for the role

  • Bachelor’s, Master’s, or PhD in Marketing Analytics, Computer Science, or a related field.
  • 7+ years of experience in customer analytics, data science, and AI/ML solutions.
  • Hands-on expertise with machine learning techniques including CNNs, RNNs, LSTMs, time series forecasting, survival analysis, graph neural networks, Bayesian and causal modelling.
  • Skilled in Python, SQL, Databricks, and modern ML libraries (scikit-learn, TensorFlow, PyTorch, Prophet, ARIMA/SARIMA).
  • Proficient in CRM systems, marketing analytics platforms, and MLOps practices.
  • Experience with LLMs, RAGs, and modern AI-based recommendation systems.
  • Strong leadership skills to manage and mentor a data science team.

About Al-Futtaim Automotive
A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world’s most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.

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  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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