data & business analyst Jobs in Abu Dhabi

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senior data scientist

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/Data Scientist with deep banking subject matter expertise to design, develop and implement statistical models and data-driven solutions for our enterprise clients. The successful candidates will work on risk modeling, portfolio optimization, and regulatory capital management across treasury, wholesale banking, and corporate lending divisions.
Key Responsibilities:<ul>
<li>Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context</li>
<li>Build RAROC and RAC optimization frameworks to improve risk-adjusted returns and capital allocation across business lines</li>
<li>Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management</li>
<li>Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks</li>
<li>Partner with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions</li>
</ul>Requirements
Requirements<ul>
<li>8+ years of experience in data science and statistical modeling within banking/financial services
</li><li>Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions</li>
<li>Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred</li>
<li>Strong proficiency in Python and relevant statistical/ML frameworks but more importantly, deep understanding of the statistical concepts underlying these tools
</li><li>Hands-on experience with regulatory capital models and Basel framework</li>
<li>Strong problem-solving skills and attention to detail</li>
</ul>Note: We're looking for true data scientists with solid statistical foundations AND proven banking domain expertise, not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Senior Data Scientist

Deeplight AI

<div>
 
 About DeepLight AI:
 
 DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries,
 
 with particular depth in financial services and banking
 
 . Our team combines deep expertise in
 
 data science, statistical modeling
 
 , AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 
 Role Overview:
 
 We are looking for a
 
 Senior AI/Data Scientist with deep banking subject matter expertise
 
 to design, develop and implement
 
 statistical models and data-driven solutions
 
 for our enterprise clients. The successful candidates will work on
 
 risk modeling, portfolio optimization, and regulatory capital management
 
 across
 
 treasury, wholesale banking, and corporate lending divisions
 
 .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context
 </li>
 <li>
 Build RAROC and RAC optimization frameworks to improve risk-adjusted returns and capital allocation across business lines
 </li>
 <li>
 Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management
 </li>
 <li>
 Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks
 </li>
 <li>
 Partner with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of experience in data science and statistical modeling within banking/financial services
 </li>
 <li>
 Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions
 </li>
 <li>
 Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred
 </li>
 <li>
 Strong proficiency in Python and relevant statistical/ML frameworks but more importantly, deep understanding of the statistical concepts underlying these tools
 </li>
 <li>
 Hands-on experience with regulatory capital models and Basel framework
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 
 
 </li>
 </ul>
 
 Note:
 
 We're looking for true data scientists with solid statistical foundations
 
 AND proven banking domain expertise
 
 , not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.
 
 
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary and performance bonuses
 </li>
 <li>
 Comprehensive health insurance
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 International exposure and travel opportunities
 </li>
 <li>
 Flexible working arrangements
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
</div>

Al Etihad Payments

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 |
 
 About the role
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.
 
 
 
 
 
 
 |What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Development and Deployment:
 
 </li>
 <li>
 Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
 </li>
 <li>
 Optimize and fine-tune models to improve performance and accuracy for various applications.
 </li>
 <li>
 
 Research and Innovation:
 
 </li>
 <li>
 Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
 </li>
 <li>
 Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
 </li>
 <li>
 
 Data Analysis and Processing:
 
 </li>
 <li>
 Collect, preprocess, and analyze large datasets to support model training and evaluation.
 </li>
 <li>
 Implement robust data pipelines to ensure efficient data flow and processing.
 </li>
 <li>
 
 Model Evaluation and Improvement:
 
 </li>
 <li>
 Evaluate model performance using appropriate metrics and methodologies.
 </li>
 <li>
 Identify areas for improvement and implement strategies to enhance model effectiveness.
 </li>
 <li>
 
 Collaboration and Mentorship:
 
 </li>
 <li>
 Collaborate with cross-functional teams including engineers, product managers, and researchers.
 </li>
 <li>
 Mentor and guide junior data scientists and machine learning engineers.
 </li>
 <li>
 
 Documentation and Reporting:
 
 </li>
 <li>
 Document methodologies, experiments, and results comprehensively.
 </li>
 <li>
 Prepare and present reports and findings to stakeholders and team members.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 |Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 </li>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 
 Experience:
 
 </li>
 <li>
 Minimum of 2 years of experience in LLM and Gen. AI
 </li>
 <li>
 Minimum of 5 years of experience in data science and machine learning.
 </li>
 <li>
 Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
 </li>
 <li>
 Experience with natural language processing and understanding tasks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 |Skills &amp; Competencies
 
 
 <ul>
 <li>
 
 Technical Skills:
 
 </li>
 <li>
 Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Strong understanding of machine learning algorithms, deep learning, and statistical methods.
 </li>
 <li>
 Experience with data visualization tools and techniques.
 </li>
 <li>
 Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
 </li>
 <li>
 
 Optional Skills:
 
 </li>
 <li>
 Proficiency in Arabic language (reading, writing, speaking) is a plus.
 </li>
 <li>
 
 Soft Skills:
 
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration abilities.
 </li>
 <li>
 Ability to work independently and in a team-oriented environment.
 </li>
 <li>
 Continuous learning mindset and a passion for innovation.
 </li>
 </ul>
 
 
 
 
 
 |Working Conditions
 
 
 <ul>
 <li>
 Full-time position; hybrid/remote options as per company policy.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist - Takamul

EPAM Systems

<div>EPAM is looking for a talented Data Scientist to join our team in Abu Dhabi. You will work on a dynamic fintech project that is transforming digital financial services across the region.
In this role, you will work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to develop AI solutions for financial services. This role combines machine learning, natural language processing and data science skills to create intelligent systems that enhance our fintech platform&rsquo;s capabilities. You will collaborate with experienced team members while developing your expertise in cutting-edge AI technologies for financial applications.
If you are eager to grow your expertise in AI, passionate about data science and motivated to impact the future of digital finance, then this unique opportunity is for you.
Responsibilities<ul><li>
Design, develop and deploy language models and RAG systems for financial applications, optimizing and fine-tuning models</li><li>
Support research initiatives in language models and retrieval-augmented generation, staying updated with the latest advancements in NLP, machine learning and AI</li><li>
Collect, preprocess and analyze datasets to support model training and evaluation, contributing to data pipeline development</li><li>
Evaluate model performance using appropriate metrics and methodologies, identifying areas for improvement</li><li>
Collaborate with cross-functional teams including engineers, product managers and researchers to deliver data science solutions</li><li>
Document methodologies, experiments and results, preparing reports and presenting findings to team members and stakeholders</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s degree in computer science, Data Science, Machine Learning, Mathematics or a related field (master&rsquo;s preferred)</li><li>
Minimum 2 years of experience in data science and machine learning</li><li>
Experience with data science projects and model development preferred</li><li>
Some experience working with machine learning models, with exposure to NLP or language models a plus</li><li>
Proficiency in Python programming and machine learning frameworks (TensorFlow, PyTorch)</li><li>
Knowledge of SQL and cloud platforms (AWS, GCP, Azure)</li><li>
Hands-on experience with data visualization, machine learning algorithms, statistical methods and basic deep learning</li><li>
Strong communication, problem-solving and collaboration skills</li><li>
Desire to learn and grow in data science and AI technologies</li></ul>
Nice to have<ul><li>
Certifications in cloud platforms (AWS, Azure, Google Cloud) or AI/machine learning</li><li>
Basic understanding of MLOps and model deployment</li><li>
Knowledge of distributed computing frameworks</li><li>
Experience with data engineering tools and pipelines</li><li>
Understanding of financial services data and analytics</li><li>
Interest in financial modeling and risk assessment</li><li>
Awareness of AI applications in financial services</li></ul>
We offer<ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel tickets for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li><ul><li>All benefits and perks are subject to certain eligibility requirements</li></ul></li></ul></div>

Data Scientist

Acenet consulting

<div><div>Experience: 7 to 12 years
 
Location: Abu Dhabi
 
Job code: 101331
 
Posted on: Sep 23, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are seeking an experienced Data Scientist to join our team and drive advanced analytics initiatives in the public sector finance domain. The ideal candidate will have proven expertise in machine learning, predictive analytics, and financial forecasting, and will act as a key advisor, model developer, and knowledge transfer facilitator.
<div>Key Responsibilities : 
<ul><li>Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.</li><li>Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.</li><li>Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.</li><li>Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.</li><li>Development of predictive models for debt management and reporting on optimal debt strategies.</li><li>Insights and visual reports on the influence of external economic indicators and trends on national financial planning.</li><li>Identification and documentation of additional use cases, along with
</li></ul>recommendations for refining and optimizing existing analytics models.</div>
<div>Role Requirements and Qualifications: 
<ul><li>Proficiency in Python, R, or similar languages for machine learning.</li><li>Hands-on experience with data platforms and cloud-based analytics.</li><li>Strong understanding of public sector finance and economic modeling.</li><li>Experience in dashboard development using Tableau is a plus.</li><li>The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position</div>

CloudJune Technologies LLC

Senior AI/ML EngineerAs a Senior AI/ML Engineer at AI Factory, you will be a key leader in the entire lifecycle of our strategic AI/ML initiatives, from visionary ideation and rigorous experimentation to secure deployment and impactful scaling across entities. You will be instrumental in architecting and implementing sophisticated AI models, spanning both robust traditional methodologies and cutting-edge generative techniques, strategically leveraging the best of open-source and proprietary technologies. You will collaborate closely with government Business Subject Matter Experts (SMEs), visionary AI product designers, a talented team of Data Scientists and Engineers, and innovative Software Engineers to build robust, scalable, secure, and impactful AI-powered products that directly benefit the citizens, residents and visitors of Abu Dhabi.What You'll Do:&#9679; Design, development, and deployment of advanced AI models and end-to-end pipelines for a diverse portfolio of government applications, encompassing both traditional ML (e.g., classification, regression, time series forecasting, recommendation engines) and state-of-the-art Generative AI (e.g., large language models, photorealistic diffusion models, generative adversarial networks).&#9679; Masterfully work with complex and sensitive government datasets, strategic data preprocessing, insightful feature engineering, and rigorous analysis to prepare data for optimal model training, precise fine-tuning, model calibration and comprehensive evaluation.&#9679; Expertly utilize and potentially contribute to leading open-source AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, and a range of specialized ML/GenAI tools.&#9679; Architect and maintain robust and highly scalable AI pipelines leveraging open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP), ensuring security and compliance with government standards.&#9679; Proactively experiment with and strategically implement cutting-edge techniques in both traditional and Generative AI, continuously staying at the forefront of the latest research, advancements, and ethical considerations within the field.&#9679; Drive effective collaboration with diverse cross-functional teams, including government Business SMEs, fellow Data Scientists, experienced Data Engineers, innovative Software Engineers, user-centric Experience Designers, intuitive UI/UX Developers, and visionary Product Managers, to clearly define critical problem statements, co-develop impactful AI solutions, and seamlessly integrate AI/ML models into existing government technology ecosystems to significantly enhance business processes and user experiences.&#9679; Contribute significantly to the evolution of our internal AI/ML infrastructure and champion best practices, rigorously promoting code quality, ensuring reproducibility of results, and establishing efficient and secure workflows aligned with government regulations.&#9679; Critically evaluate model performance using appropriate government-centric metrics and proactively implement robust AI safeguard strategies to ensure ethical, transparent, and reliable AI solutions, driving continuous improvement and optimization.&#9679; Thoroughly document methodologies, well-commented code, and clearly articulated results for both technical and non-technical stakeholders within the government.&#9679; Expertly troubleshoot and effectively resolve complex issues related to AI/ML models and critical pipelines in live government production environments, ensuring minimal disruption to essential services.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a closely related quantitative field with a strong analytical foundation.&#9679; A minimum of 3 years of demonstrable and impactful hands-on experience in the end-to-end lifecycle of developing and deploying robust machine learning models or GenAI solutions in a demanding production environment.&#9679; Deep theoretical understanding and significant practical experience in a broad spectrum of traditional machine learning algorithms and techniques, with a proven ability to apply them effectively to real-world problems.&#9679; Strong demonstrated experience with the intricacies of generative AI models and techniques, including practical application of large language models (LLMs), diffusion models, and generative adversarial networks (GANs).&#9679; Exceptional proficiency in core programming languages essential for AI/ML, particularly Python, with a focus on writing clean, efficient, and well-documented code.&#9679; Extensive practical experience with key open-source AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) and a strong understanding of their underlying principles.&#9679; Proven experience in building and deploying resilient AI pipelines utilizing open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP, Docker, Kubernetes), with a focus on security and scalability.&#9679; Solid understanding of data engineering principles and substantial experience working with large, complex, and potentially sensitive government datasets and secure cloud-based data platforms (e.g., Azure).&#9679; Proven experience working with a variety of database systems including relational databases (e.g., PostgreSQL, MySQL), vector databases (e.g., Milvus, Pinecone, ChromaDB) and graph databases (e.g., Neo4j, ArangoDB) for modeling and querying complex relationships between entities.&#9679; Exceptional problem-solving and strong analytical skills with a proven ability to effectively translate complex government business requirements into robust and scalable technical AI solutions.&#9679; Outstanding communication and strong collaboration skills, with the ability to clearly and concisely explain complex technical AI concepts and findings to both highly technical and non-technical stakeholders across various government entities.&#9679; A proactive, highly self-driven, and results-oriented attitude with a genuine passion for continuous learning and staying at the absolute forefront of the latest advancements and ethical considerations in the dynamic field of AI/ML.Bonus Points For:&#9679; Proven experience implementing and leveraging AIOps practices and tools within a production environment.&#9679; Specific familiarity with the unique challenges and opportunities within the government sector or relevant industry domains within Abu Dhabi.&#9679; Hands-on experience with distributed training and efficient inference techniques for large-scale AI models.&#9679; Contributions to the open-source AI/ML community or publications in relevant AI/ML conferences or journals.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Python, TensorFlow, PyTorch, and cloud platforms: 5 years (Required)</li><li>AI ethics, data privacy, and MLOps: 3 years (Required)</li><li>AI/ML development : 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Senior AI/ML Engineer

<div><div>Experience: 10 to 15 years
 
Location: Abu Dhabi
 
Job code: 101342
 
Posted on: Oct 06, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are leveraging Artificial Intelligence to drive innovation and digital transformation. As a Senior AI &amp; Data Governance Consultant, you will collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions that enhance business performance and decision-making. You&rsquo;ll act as a bridge between business strategy and technology execution &mdash; identifying opportunities, crafting solutions, and ensuring successful adoption of AI across client environments.
<div>Key Responsibilities: 
<ul><li>Provide expert guidance on how to leverage AI technologies to improve operations, optimize processes, and drive business growth.</li><li>Evaluates business processes to identify opportunities for AI Implementation, integration, and enhancement.</li><li>Conducts and develops feasibility studies and cost-benefit analyses for proposed AI solutions.</li><li>Designs and develops AI strategies and solutions that align with the company&rsquo;s objectives and capabilities .</li><li>Leads cross-functional teams to develop and implement AI systems, ensuring they meet quality standards and project specifications.</li><li>Provides guidance on data governance, ethical AI practices, and compliance with relevant regulations.</li><li>Provides information on the latest AI trends, tools, and technologies to provide cutting-edge solutions.</li><li>Monitors the implementation of all approved AI initiatives with internal teams and assigned 3rd party technology providers.
</li><li>Facilitate training and change management initiatives to promote AI adoption across company.</li><li>Facilitates proper documented handover.</li><li>Monitors the performance of all AI Implementations and make recommendations for improvements where required and applicable.
</li><li>Decipher AI concepts to non-technical stakeholders in a clear and understandable manner.</li><li>Assess the risks associated with AI implementation and developing mitigation strategies.</li></ul></div>
<div>Role Requirements and Qualifications: 
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, Engineering, or a related field..</li><li>Proven experience delivering AI solutions in enterprise environments.</li><li>Ability to lead workshops, prepare proposals, and present AI strategies to clients.</li><li>Exposure to MLOps, model deployment, and performance optimization is a plus.</li><li>Fluent English and Arabic strongly preferable.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Senior AI & Data Governance Consultant

Explore 744+ Senior data scientist in Abu Dhabi this October. Find roles across top companies and apply now to boost your career.

744 senior data scientist jobs IN Abu Dhabi

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Takamul

Data Scientist

Data Scientist

Senior AI/ML Engineer

Senior AI & Data Governance Consultant