47 Data Science Manager jobs in the United Arab Emirates

Direct message the job poster from Roads and Transport Authority

The Roads and Transport Authority (RTA) is looking for an experienced AI Project Manager to lead and deliver AI-driven initiatives that transform public services in Dubai. This role offers a unique opportunity to work at the forefront of smart city development, managing cutting-edge AI projects from concept to execution.

Key Responsibilities:

• Supervise the entire AI project portfolio: planning, implementation, and performance monitoring
• Lead budgeting, resource planning, and strategic alignment of AI initiatives with RTA’s AI Roadmap
• Translate business needs into feasible AI projects, conduct cost-benefit analysis, and track KPIs
• Manage vendors and service providers, ensuring project delivery meets RTA standards
• Design and deploy interactive dashboards (Power BI, Qlik Sense, Microsoft Fabric) for real-time reporting
• Drive AI innovation, mentor team members, and support AI training & capability-building programs
• Ensure alignment with data governance, security, and UAE’s national data regulations
• Collaborate across technical and business stakeholders, including IT, strategy, and external consultants

Qualifications & Skills:

• Bachelor’s or Master’s degree in Information Technology, AI, Data Science, or related field
• 14+ years of relevant experience in AI, project management, and data platforms
• Expertise in data lake, ETL pipelines, data warehousing, visualization tools, and machine learning
• Strong command of data privacy, security, enterprise architecture, and data governance frameworks
• Excellent leadership, planning, communication, and stakeholder management skills
• Proficiency in project management methodologies and business case evaluation

Be part of Dubai’s transformation into a world-class smart city

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionSupply Chain
• IndustriesGovernment Administration

Referrals increase your chances of interviewing at Roads and Transport Authority by 2x

Get notified about new Project Manager jobs in Dubai, United Arab Emirates.

Dubai, Dubai, United Arab Emirates 3 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are seeking an experienced professional to drive the design, development, and deployment of advanced analytical solutions and machine learning models. This role will collaborate with stakeholders to extract insights from large datasets and translate them into actionable outcomes.

• Analytical Model Development: Design, develop, and deploy machine learning models and analytical solutions for business-critical problems.
• Collaboration and Communication: Collaborate with data engineers to ensure data quality, integrity, and accessibility for modeling and analysis. Analyze complex datasets using statistical and predictive modeling techniques to uncover trends and patterns.
• Solutions Development: Translate business problems into analytical solutions, defining success metrics and model evaluation criteria.
• Mentorship and Training: Mentor junior analysts and guide best practices in feature engineering, model tuning, and validation.
• Stakeholder Management: Present findings and model results to stakeholders through clear, data-driven storytelling and visualization.

• Educational Background: Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Professional Experience: 5+ years of experience in data science or applied machine learning roles.
• Technical Skills: Proficiency in Python or R, with strong experience in libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.

This is an exciting opportunity to work on high-impact projects and contribute to driving business outcomes. As a key member of the team, you will have the chance to collaborate with talented professionals and advance your skills in data analysis and machine learning.

The successful candidate will be part of a dynamic environment that values innovation, teamwork, and continuous learning. If you are passionate about data science and eager to take on new challenges, we encourage you to apply for this opportunity.

The Director of Data Analysis is responsible for collecting, processing, and analysing real estate data from various sources, with the aim of providing accurate, data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency, developing sector-wide performance indicators, and supporting policy formulation and investment planning based on data.

Responsibilities

• Collecting and analyzing real estate data from multiple sources
• Processing and cleaning data to ensure its accuracy, consistency, and readiness for analysis
• Analyzing real estate data to extract and update the real estate index, which enhances market transparency
• Preparing reports and dashboards to support strategic decision-making
• Developing sector performance indicators (e.g., price indices, supply and demand, occupancy rates, etc.)
• Supporting policy development and investment planning by providing data-driven recommendations
• Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
• Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market

Requirements

• Bachelor's degree in Economics, Statistics, Business Administration, Data Analysis, or a related field.
• 5 years of experience in data analysis or market research, with knowledge of the real estate market.
• Certifications in data analysis or economics are not required but are preferred
• Certifications in Data Analysis, such as RICS or CF

We are seeking a detail-oriented and analytical professional to join our team as a Data Analyst . In this role, you will be responsible for collecting, analyzing, and presenting data related to financial performance, sales performance, and other areas of responsibility.

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

About the opportunity

The Growth Data Science Director will lead and accelerate growth strategies across marketing optimization, product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue for talabat and Quick commerce. This role requires collaboration with product teams, senior marketing, and partner leadership to drive data-driven decisions and business growth.

What’s On Your Plate?

• Data Science: Define and execute data strategies aligned with company goals, leading cross-functional teams to develop innovative data-driven products and insights that impact business outcomes.
• Strategic Leadership and Business Acumen: Demonstrate strategic leadership, articulate vision, and incorporate emerging trends and technologies to add value.
• Collaboration and Influence: Work with stakeholders including executives, product managers, engineers, and external partners; represent the organization at industry events.
• Resource Management: Manage teams, budgets, and resources; prioritize projects; coach and mentor managers.
• Strategic Hiring and Talent Development: Recruit, develop career paths, and provide feedback to team members.
• Organizational Change Management: Lead change initiatives, communicate effectively, and manage resistance.

What you need to be successful

• 8-10+ years in data science, with leadership experience in managing teams or consulting.
• Ph.D. or Master’s in relevant fields such as computer science, statistics, or data science.
• Proven leadership in fostering high-performance teams and applying data science skills to create impactful products and insights.
• Deep knowledge of statistics, causality, experimentation, and modeling.
• Business acumen with experience in quantifying impact through data initiatives.
• Strategic thinking and ability to develop data-driven roadmaps aligned with organizational goals.

Who we are

Since 2004, talabat has been Kuwait’s leading on-demand food and Q-commerce app, serving eight countries. We leverage technology to simplify life, optimize operations, and provide earning opportunities. We foster a high-performance culture, value authenticity, and are proud of our awards and diverse team of over 6,000 Talabaty committed to making a difference.

About the opportunity

The Growth Data Science Director will lead and accelerate growth strategies across marketing optimization, product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue for talabat and Quick commerce. This role requires collaboration with product teams, senior marketing, and partner leadership to drive data-driven decisions and business growth.

What’s On Your Plate?

• Data Science: Define and execute data strategies aligned with company goals, leading cross-functional teams to develop innovative data-driven products and insights that impact business outcomes.
• Strategic Leadership and Business Acumen: Demonstrate strategic leadership, articulate vision, and incorporate emerging trends and technologies to add value.
• Collaboration and Influence: Work with stakeholders including executives, product managers, engineers, and external partners; represent the organization at industry events.
• Resource Management: Manage teams, budgets, and resources; prioritize projects; coach and mentor managers.
• Strategic Hiring and Talent Development: Recruit, develop career paths, and provide feedback to team members.
• Organizational Change Management: Lead change initiatives, communicate effectively, and manage resistance.

What you need to be successful

• 8-10+ years in data science, with leadership experience in managing teams or consulting.
• Ph.D. or Master’s in relevant fields such as computer science, statistics, or data science.
• Proven leadership in fostering high-performance teams and applying data science skills to create impactful products and insights.
• Deep knowledge of statistics, causality, experimentation, and modeling.
• Business acumen with experience in quantifying impact through data initiatives.
• Strategic thinking and ability to develop data-driven roadmaps aligned with organizational goals.

Who we are

Since 2004, talabat has been Kuwait’s leading on-demand food and Q-commerce app, serving eight countries. We leverage technology to simplify life, optimize operations, and provide earning opportunities. We foster a high-performance culture, value authenticity, and are proud of our awards and diverse team of over 6,000 Talabaty committed to making a difference.

Are you actively seeking a new job role? Well, you are at the right place! We’re looking for a skilled Machine Learning Expert to join our team and enhance our AI-driven information systems. The ideal candidate will develop intelligent models that optimize database queries and improve our robotics dialogue flow, enabling natural voice-based interactions between users and our robot. This role involves working with large datasets, implementing AI-powered solutions, and collaborating with cross-functional teams to bring cutting-edge machine learning innovations into our systems.

• Design, develop, and optimize machine learning models for database query automation and voice-based interactions.
• Enhance the robotic dialogue flow by implementing NLP (Natural Language Processing) models for seamless user communication.
• Work with SQL and NoSQL databases to improve query efficiency and response time using AI-driven approaches.
• Develop speech recognition and text-to-speech models to facilitate natural voice interactions.
• Implement predictive analytics and recommendation systems to enhance user experience.
• Collaborate with software engineers, data scientists, and robotics experts to integrate AI models into existing systems.
• Train and fine-tune deep learning and reinforcement learning models for adaptive conversation flows.
• Monitor model performance, troubleshoot issues, and continuously refine algorithms.

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
• Experience with NLP frameworks such as spaCy, NLTK, or OpenAI GPT models.
• Knowledge of speech recognition technologies like DeepSpeech or Google Speech-to-Text API.
• Experience with database management and AI-driven query optimization.
• Familiarity with robotics frameworks such as ROS (Robot Operating System) is a plus.
• Strong analytical and problem-solving skills.
• Excellent teamwork and communication abilities.

• Experience in deploying AI models to production using Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP).
• Hands-on experience with LLMs (Large Language Models) for advanced dialogue generation.
• Understanding of edge AI for deploying models on embedded systems or robotics hardware.

We are a group of professionals aiming to create a positive impact that makes a difference in mobility solutions. We are focused on developing unique solutions that fit the needs of customers across the industry verticals.

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle