86 Data Scientists jobs in Abu Dhabi

**Data Engineering Role Summary**

• Achieve business value by designing, constructing, and managing data pipelines for ingestion, transformation, storage, and analytics.

Our ideal candidate will have a deep understanding of data architecture, processing, and governance principles to ensure the delivery of high-quality data products. Key responsibilities include:

• Designing and developing scalable data architectures using Azure Databricks, Data Lake Storage, and other cloud-based technologies.
• Ensuring data quality, integrity, security, and compliance throughout the data lifecycle.
• Collaborating with cross-functional teams to deliver end-to-end data solutions that meet business needs.

• Minimum 5 years of experience in a data engineering or data platform role, preferably in a cloud computing environment.
• Strong expertise in SQL, Python, PySpark, Jupyter Notebooks, and related data processing frameworks.
• Experience working with ETL/ELT tools such as Azure Data Factory, Azure Synapse, or similar platforms.
• Excellent problem-solving skills, with the ability to analyze complex technical issues and implement effective solutions.
• Strong communication and collaboration skills to work effectively with both technical and non-technical stakeholders.

• Cloud Computing (Azure)
• Big Data Technologies (Databricks, Data Lake Storage)
• Programming Languages (Python, SQL)
• ETL/ELT Tools (Data Factory, Synapse)

Apt Resources seeks an experienced data specialist to design and implement large-scale data solutions.

• Build robust data pipelines using Python, SQL/NoSQL, and Airflow.
• Develop ETL/ELT processes for structured/unstructured data.
• Manage data lakes and optimize storage solutions.

• Design efficient data models for analytics.
• Implement data governance and quality frameworks.
• Work with cloud-based data platforms (Azure preferred).

• Prepare and process datasets for machine learning applications.
• Collaborate with ML teams on feature engineering.

• 10-12 years of hands-on big data experience.
• Expertise in:
• Python and SQL/NoSQL databases.
• Airflow for workflow orchestration.
• ETL/ELT pipeline development.
• Cloud data platforms (Azure, AWS, or GCP).

The successful candidate will have a strong understanding of big data technologies and the ability to design and implement scalable data solutions.

This is a unique opportunity to work with a government client in Abu Dhabi and contribute to public sector digital transformation.

We are seeking a detail-oriented and skilled Data Scientist to drive informed decision-making and innovation across the organization.

• Create actionable insights and predictive models that inform strategic business outcomes.
• Develop robust, explainable data science models that meet business objectives.
• Maintain data quality and integrity throughout the data lifecycle.
• Collaborate with cross-functional teams to embed models into production environments.
• Evaluate data usage for governance, privacy, and regulatory compliance.

Key Requirements:

• 4+ years of experience in data science or a related field.
• University degree or relevant technology certifications.
• Experience following Agile methodologies (certification desirable).
• Excellent communication skills and high proficiency in programming languages such as SQL and Python.

We operate globally, serving customers across multiple continents. Our goal is to deliver exceptional service while driving growth and innovation.

• Machine Learning
• Data Visualization using Matplotlib, Seaborn, Plotly, or BI tools like Tableau
• Cloud platforms such as MS Azure and Databricks

We are seeking a talented Business Insights and Data Analysis Specialist to join our team. In this role, you will be responsible for analyzing data from multiple sources to provide actionable insights and trends.

Key Responsibilities:

• Extract valuable business insights from large datasets
• Develop and implement mathematical models to solve complex problems
• Evaluate existing data sources and recommend strategies for improvement
• Design and develop reports, dashboards, and visualizations to communicate data insights effectively
• Collaborate with stakeholders to develop data-driven plans and strategies

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
• Excellent analytical skills with the ability to interpret complex datasets
• Proficiency in SQL programming language and database management systems (e.g., Oracle)
• Familiarity with statistical analysis software (e.g., SPSS) and reporting tools (e.g., Tableau)

Compensation and Benefits:

• A competitive salary package
• Opportunities for professional growth and development

Data Analyst position available in Abu Dhabi UAE.

The successful candidate will be responsible for collecting, analyzing and reporting data related to business operations. They should have strong problem-solving skills, attention to detail and the ability to work independently.

• Collect, analyze and report data related to business operations.

• Bachelor's degree in Computer Science or similar field
• Proven experience working with data analysis tools such as Tableau or Power BI
• Experience working with databases (SQL a plus)
• Strong knowledge of statistical methods and techniques
• Excellent problem-solving skills
• Ability to work independently
• Attention to detail
• Excellent communication and interpersonal skills
• Fluency with Microsoft Office products (Excel, Word, Outlook)

• Friendly working environment and opportunities to develop your skills
• Competitive salaries
• Comprehensive health benefits
• Career development opportunities
• Flexible work hours

Please submit your resume and cover letter outlining your experience with data analysis.

Data Analysis Role in Abu Dhabi

• We are seeking an experienced Data Analyst to monitor and analyze the company's data.

Key Responsibilities:

• Collect, analyze, and interpret large datasets related to the company's operations
• Develop effective reporting systems for management
• Identify trends and patterns in the collected data
• Provide ongoing support throughout all stages of data analysis process
• Generate insights from data analysis and present them to key stakeholders
• Troubleshoot any issues with existing datasets or reports

Requirements:

• Bachelor's degree in Computer Science, Mathematics, or a related field
• 3+ years of experience in data analysis
• Knowledge of SQL databases and programming languages such as Python or R
• Strong analytical skills with experience in using statistical techniques to draw conclusions from data
• Excellent communication skills with ability to explain results of analysis to stakeholders

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MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Department of Machine Learning is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply.

The Department of Machine Learning undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.

About MBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world's first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2020, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

To further this vision, MBZUAI is launching its first Undergraduate (Bachelor's) degree programs next academic year and is actively hiring Teaching Faculty. Meanwhile, our Master's and PhD programs continue to expand, introducing new specializations inStatistics and DataScience,ComputationalBiology, andHuman-ComputerInteraction.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
• Exceptional Benefits:
  • Comprehensivehealth & life insurance
  • Relocation supportfor international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi:World's safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

Qualifications

This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.

Application Instructions

To apply for this position, please submit the following:

• Statement of research vision and interests (optional)
• Statement of teaching interests, experience, and philosophy (optional)
• List of publications (optional)
• 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 is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

This is a remote position. We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their data-driven technology powers MNOs fintechs and banks enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cutting-edge financial tech with real-world impact this is the opportunity for you.

With rapid growth industry recognition and a team that thrives on innovation this is a chance to shape the future of finance in high-growth markets across Africa.

Our client is seeking an exceptional Machine Learning Engineer (Foundation Models Focus) to develop and scale AI and machine learning initiatives across their financial services ecosystem. This role is pivotal in driving AI-powered decision-making automation and hyperpersonalization using foundation models including LLMs and multimodal AI. The Machine Learning Engineer will be responsible for developing pretraining finetuning and optimizing foundation models while working closely with data scientists data engineers and software engineering teams to deploy scalable AI solutions. This position plays a key role in enhancing financial AI applications such as automated underwriting fraud detection credit scoring and AI-powered customer engagement ensuring measurable improvements in performance and customer experience.

• Evaluate scope and support the foundation models and Generative AI strategy including potential applications in automated underwriting alternative credit scoring AI-powered customer interactions fraud detection and early-warning models.
• Design and develop AI-powered applications including chatbots virtual assistants personalized recommendation systems and AI-driven decisionmaking tools.
• Plan for resourcing training and roadmap for AI adoption ensuring alignment with senior management and business needs.

• Pretrain finetune and optimize foundation models (e.g. GPT LLaMA Mistral) for various financial applications.
• Hyperparameter tuning for efficiency (e.g. optimization of transformer architectures Mixture of Experts (MoE) retrieval-augmented generation (RAG)).
• Implement foundation model scaling techniques such as DeepSpeed FSDP and quantization to enhance efficiency.
• Develop custom embeddings tokenizers and retrieval models for enhanced financial NLP and multimodal tasks.
• Build pipelines for prompt engineering reinforcement learning with human feedback (RLHF) and model alignment.

• Work with engineering and data teams to ensure AI Models deployment is scalable secure and cost-efficient.
• Develop efficient inference optimization strategies using ONNX TensorRT and Triton Inference Server.
• Implement MLOps best practices including model versioning continuous monitoring retraining and deployment on on-premise infrastructure or cloud (AWS GCP Azure).
• Define best practices for data collection storage and pipeline automation to enable AI-driven insights in financial services.

• Collaborate with data governance teams to ensure AI models comply with data privacy laws.
• Deploy realtime AI anomaly detection models to mitigate fraud risks in digital transactions.
• Partner with compliance teams to develop AI-driven regulatory reporting tools and automated risk alerts.
• Ensure ethical AI and bias mitigation techniques are integrated into foundation model-based decisionmaking systems.

• Develop AI models for hyperpersonalized financial services based on behavioral analysis and customer interactions.
• Implement AI-powered marketing segmentation dynamic customer scoring and next-best-action recommendation engines.
• Partner with AI research institutions universities and fintech accelerators to drive foundation models and generative AI innovation.
• Represent the company at global fintech and AI summits shaping industry conversations on Generative AI in financial services.
• Publish AI research case studies and thought leadership content to establish the company as a leader in AI-driven fintech.

What it takes to succeed:

• 7 years of experience in AI/ML deep learning NLP or applied machine learning with at least 3 years leading AI teams.
• Strong expertise in foundation models LLM architectures and generative AI.
• Hands-on experience with AI frameworks (PyTorch TensorFlow Hugging Face Transformers DeepSpeed MegatronLM).
• Experience in scaling AI/ML models using distributed computing frameworks (Ray Spark Dask).
• Proven ability to deploy and optimize foundation models in production including quantization distillation and efficient inference strategies.
• Strong knowledge of data governance AI ethics and regulatory compliance (GDPR financial regulations).
• Experience working with vector databases (FAISS Pinecone Chroma) for retrieval-augmented generation (RAG).
• Familiarity with MLOps tools (MLflow Kubeflow Weights & Biases).
• Strong programming skills in Python SQL and cloud platforms (AWS GCP Azure).
• Ability to translate AI innovations into business-driven AI strategies for financial services.

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master's or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.