140 AI Ml Engineer jobs in the United Arab Emirates

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (churn reduction), ecosystem plays (subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain—from data collection and modeling to analysis, reporting, and experimentation—ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

Responsibilities:

1. Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat's broader business goals.
2. Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.
3. Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat's objectives.
4. Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.
5. Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.
6. Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.
7. Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.
8. Serve as a key point of communication between the data science unit and both internal and external stakeholders. Translate complex data-driven insights into clear, understandable, and actionable recommendations for various audiences.
9. Stay abreast of the latest trends and advancements in data science, logistics, and technology. Incorporate cutting-edge practices and tools into Talabat's data science strategy to maintain a competitive edge and foster continuous improvement.
10. Effectively manage resources and priorities to strike a balance between long-term strategic initiatives and immediate operational needs. Ensure that the data science team's efforts are focused on projects with the highest potential for positive impact on Talabat's operations.
11. Design, implement, and manage experimental frameworks, such as A/B testing, to validate new ideas and measure their impact on logistics performance. Use these insights to guide continuous improvement efforts.
12. Provide expert analytical support to cross-functional teams, assisting in the development of KPIs and goal-setting processes that align with Talabat's strategic objectives.
13. Lead by example to cultivate an environment of excellence and innovation within the data science team. Encourage creative thinking, continuous learning, and the exploration of new ideas to drive forward Talabat's logistics operations.

What Did We Order?

Technical Expertise:

1. Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
2. Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.
3. Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.
4. Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.
5. Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.
6. Experience in data engineering and pipeline development through tools like Airflow is highly regarded.
7. Familiarity with classical machine learning frameworks (Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

1. Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
2. A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.
3. Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.
4. Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.
5. Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.
6. A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.

Principle Responsibilities & Key Results Area

• Identify innovation opportunities around data and datarelated processes that will help our clients implement factbased decisioning processes within their cards and payments program
• Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategies cocreate deploy and reap the benefits of datadriven solutions.
• Work with regional and global Data Science teams to develop highquality analytic products and solutions that promote Visas growth in the region.
• Focus on creating scalable framework for Gen AI ML models
• Keep Visa at the forefront of technological advancement in Data Science by introducing cuttingedge tools and techniques for generating business insights
• Develop nextgeneration analytic methods where existing tools and techniques are inadequate to address business challenges
• Drive commercialization of existing scalable assets (models dashboards solutions).
• Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs
• Develop share and build global best practices and knowledge management within the team
• Socialize innovative ideas and approaches that are scalable and have market demand
• Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained
• Work closely with Data Engineering DS teams and vendors communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria including expected quality and performance.
• Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management Digital Risk Merchant & Acquiring Commercial) understanding the market landscape and demand identification of potential opportunities for scalable solutions collecting business requirements and supporting in market enablement and GotoMarket.
• Work with Global Practice Leads to incorporate best practice source analytical or other services and leverage global consulting solutions.
• Deliver and manage a network of external Vendor or agency partners.

  Maintain excellent relationship with vendor team atlarge supervising deliveries as needed.

  Assist in selecting recruiting inducting and onboarding of vendors

  Work with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities.

• Manage the project budget and resources to perform all required duties.
• Liaise with VISA functional teams Finance Audit Legal Tax Sourcing to define and implement processes to optimize the daily engagement of vendors and the relationships with clients.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Key Competencies

• Minimum of 10 years of expertise in applying Machine Learning solutions to business problems model development and production experience required
• Experience of using GenAIto solve business challenges
• Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering
• Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries
• Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded product
• Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems
• Proven track record in commercializing analytical solutions.
• Experience planning organizing and managing multiple large projects with diverse crossfunctional teams including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring datadriven results to various audience levels
• Proven ability to deliver results within committed scope timeline and budget
• Very strong people/project management skills and experience

Technical Expertise

• Expertise in distributed computing environments / big data platforms (Hadoop Elasticsearch etc. as well as common database systems and value stores (SQL Hive HBase etc.
• Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupyter Notebooks).
• Strong programming ability in different programming languages such as Python R Scala and SQL
• Experience in drafting solution architecture frameworks that rely on APIs and microservices
• Proficient in some or all of the following techniques: Linear & Logistic Regression Decision Trees Random Forests KNearest Neighbors Markov Chain Monte Carlo Gibbs Sampling Evolutionary Algorithms (e.g. Genetic Algorithms Genetic Programming) Support Vector Machines Neural Networks etc.
• Expert knowledge of advanced data mining and statistical modeling techniques including Predictive modeling (e.g. binomial and multinomial regression ANOVA) Classification techniques (e.g. Clustering Principal Component Analysis factor analysis) Decision Tree techniques (e.g. CART CHAID)

Leadership Competencies

• Demonstrates integrity maturity and a constructive approach to business challenges
• Serves as a role model for the organization by implementing core Visa Values
• Strives for excellence and extraordinary results
• Uses sound insights and judgments to make informed decisions in line with business strategy and needs
• Able to allocate tasks and resources across multiple lines of businesses and geographies
• Able to influence senior management both within and outside Data Science
• Successfully persuading internal stakeholders to commit to bestinclass solutions when required
• Leverages change management leadership as required
• Fluency in English is mandatory.

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Remote Work :

No

Employment Type :

Fulltime

Mohamed bin Zayed University of Artificial Intelligence : Academic Affairs Division : Statistics and Data Science

Location

Abu Dhabi

Open Date

Mar 20, 2026

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an open-rank, tenured / tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence(AI).

Faculty members at MBZUAI have the unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI's mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research includes areas such as statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty members will have ample opportunities to collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Qualifications

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2025. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

Application Instructions

To apply for this position, please submit the following :

• Cover letter
• Curriculum Vitae
• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI's future – apply today at MBZUAI

MBZUAI #careeropportunities #AI

Bachelor of Technology/Engineering, Bachelor of Science(Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Role Summary

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders, and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain from data collection and modeling to analysis, reporting, and experimentation ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

What's On Your Plate?

Responsibilities:

1. Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat's broader business goals.
2. Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.
3. Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat's objectives.
4. Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.
5. Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.
6. Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.
7. Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.

What Did We Order?

Technical Expertise:

1. Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
2. Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.
3. Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.
4. Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.
5. Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.
6. Experience in data engineering and pipeline development, e.g., through tools like Airflow, is highly regarded.
7. Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

1. Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
2. A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.
3. Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.
4. Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.
5. Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.
6. A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.