95 Data Science jobs in Dubai

The company is seeking a senior data scientist to lead our growth team and accelerate our strategies across multiple dimensions.

This leader will drive business impact through the design, execution, and interpretation of experiments, empowering product, marketing, and operations teams to make data-informed decisions.

• Define and execute a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives.
• Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.

• A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.
• A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or a related discipline.
• Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.

• Competitive compensation package.
• Opportunities for career growth and professional development.

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:

• Analyze complex banking products and services for strategic decision-making.
• Leverage Artificial Intelligence (AI)/Machine Learning (ML) to enhance core banking processes and digital journeys.
• Leads banking analytics projects to drive business growth and innovation.
• Design and deploy advanced AI/ML models to optimize banking operations and customer journeys
• Build scalable ML pipelines using Azure AI Foundry or AWS SageMaker
• Fine-tune generative AI models using Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Conduct A/B testing and statistical inference.
• Collaborate with engineers for containerized Continuous Integration (CI)/ Continuous Deployment (CD)
• Monitor model performance using Machine Learning Operations (MLOps) and Large Language Models (LLM) metrics Bilingual Evaluation Understudy (BLEU), ROUG.

The ideal candidate should have the following experience:

• Minimum 7 years of experience in data science, with proven expertise in AI/ML, statistical modeling, and cloud-based deployments
• Strong background in banking processes, operations, terminologies, generative AI, and Machine Learning Operations (MLOps) is essential
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment is highly preferred
• 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
• Advanced Python and ML Development
• Statistical Analysis and Experimentation
• Machine Learning and MLOps
• Generative AI and LLMs
• Cloud-based ML Pipelines (Azure/AWS)
• Data Visualization and Dashboarding
• DevOps & CI/CD Practices

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.

At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions.

As a Data Science Manager (Operations) at Al-Futtaim Automotive, you will lead AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.

• Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.
• Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.
• Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.
• Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.
• Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.

• Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.
• Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.
• Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.
• Familiarity with deep learning frameworks and pattern recognition for complex operational data.
• Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.

You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.

• Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.
• 7+ years of experience in data science, operations analytics, or AI-driven business transformation.
• Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.
• Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).
• Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).
• Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).
• Strong leadership, communication, and project management skills.

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.

• Not Applicable

• Full-time

• Engineering and Information Technology

• Retail

As a key member of our team, you will play a pivotal role in driving innovation and excellence in the banking sector.

The ideal candidate will have a strong background in data science, with expertise in AI/ML and statistical modeling. They will be responsible for analyzing complex banking products to inform strategic decision-making.

Key responsibilities include:

• Developing and implementing data-driven solutions to enhance core banking processes.
• Leading analytics projects to drive growth and innovation in the industry.

The successful candidate will have:

• 7+ years experience in data science, with a focus on AI/ML and statistical modeling.
• A strong understanding of banking operations and terminology.
• Leadership experience in regulated environments.

We are seeking a highly skilled professional who possesses:

• Expertise in AI/ML and statistical modeling.
• Strong analytical and problem-solving skills.
• Effective communication and leadership skills.

This role offers a unique opportunity to work alongside passionate colleagues who share your ambition to redefine excellence in banking. You will have the chance to:

• Contribute to cutting-edge projects that drive innovation and growth.
• Develop your skills and expertise in a dynamic and supportive environment.

If you are a motivated and ambitious professional looking to make a real impact in the banking sector, we encourage you to apply for this exciting opportunity.

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:

• Analyze complex banking products and services for strategic decision-making.
• Leverage Artificial Intelligence (AI)/Machine Learning (ML) to enhance core banking processes and digital journeys.
• Leads banking analytics projects to drive business growth and innovation.
• Design and deploy advanced AI/ML models to optimize banking operations and customer journeys
• Build scalable ML pipelines using Azure AI Foundry or AWS SageMaker
• Fine-tune generative AI models using Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Conduct A/B testing and statistical inference.
• Collaborate with engineers for containerized Continuous Integration (CI)/ Continuous Deployment (CD)
• Monitor model performance using Machine Learning Operations (MLOps) and Large Language Models (LLM) metrics Bilingual Evaluation Understudy (BLEU), ROUG.

The ideal candidate should have the following experience:

• Minimum 7 years of experience in data science, with proven expertise in AI/ML, statistical modeling, and cloud-based deployments
• Strong background in banking processes, operations, terminologies, generative AI, and Machine Learning Operations (MLOps) is essential
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment is highly preferred
• 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
• Advanced Python and ML Development
• Statistical Analysis and Experimentation
• Machine Learning and MLOps
• Generative AI and LLMs
• Cloud-based ML Pipelines (Azure/AWS)
• Data Visualization and Dashboarding
• DevOps & CI/CD Practices

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.

At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions.

Job Description: Data Science Intern

We are seeking 2 interns for the period of July 2025 - Jan 2026 in 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 multiskilled 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.

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 world's 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 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
• Graduating in 2026 or later
• Ability to work 30-40 hours per week
• 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, and striving for excellence, self-driven with efficient reporting capability

What We Offer

• Monthly stipend
• Buddy and mentor support during your journey
• Learning opportunities

EEO Statement

META is an equal opportunities employer, we believe in diversity and inclusion.

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:

• Analyze complex banking products and services for strategic decision-making.
• Leverage Artificial Intelligence (AI)/Machine Learning (ML) to enhance core banking processes and digital journeys.
• Leads banking analytics projects to drive business growth and innovation.
• Design and deploy advanced AI/ML models to optimize banking operations and customer journeys
• Build scalable ML pipelines using Azure AI Foundry or AWS SageMaker
• Fine-tune generative AI models using Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Conduct A/B testing and statistical inference.
• Collaborate with engineers for containerized Continuous Integration (CI)/ Continuous Deployment (CD)
• Monitor model performance using Machine Learning Operations (MLOps) and Large Language Models (LLM) metrics Bilingual Evaluation Understudy (BLEU), ROUG.

The ideal candidate should have the following experience:

• Minimum 7 years of experience in data science, with proven expertise in AI/ML, statistical modeling, and cloud-based deployments
• Strong background in banking processes, operations, terminologies, generative AI, and Machine Learning Operations (MLOps) is essential
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment is highly preferred
• 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
• Advanced Python and ML Development
• Statistical Analysis and Experimentation
• Machine Learning and MLOps
• Generative AI and LLMs
• Cloud-based ML Pipelines (Azure/AWS)
• Data Visualization and Dashboarding
• DevOps & CI/CD Practices

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.

At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions.

Assistant Manager specializing in Global Recruiting. We are looking for a Data Science Engineer (UAE National) to join our Data Science team.

• Bachelor's degree in Computer Science, Data Science, or a related field

• 1–2 years of relevant experience
• Skills in SQL, Python, Power BI (any level of proficiency will be considered)

• Entry level

• Full-time

• Information Technology

• Banking

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.

• 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.

• 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.

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.

• 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.