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<div>
 
 Overview
 
 
 
 
 About AIQ:
 
 
 
 AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepare, clean, and preprocess data for analysis.
 </li>
 <li>
 Analyze data quality and proactively address issues.
 </li>
 <li>
 Develop data-driven algorithms for clustering, classification, regression, and optimization.
 </li>
 <li>
 Evaluate AI solutions aligned with business objectives.
 </li>
 <li>
 Maintain and enhance existing solutions to meet evolving business needs.
 </li>
 <li>
 Deploy and manage AI models in production.
 </li>
 <li>
 Visualize and communicate analysis results effectively.
 </li>
 <li>
 Present ideas, plans, and findings orally and in written reports.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Petroleum Engineering, or related disciplines). Advanced degrees are a plus.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3+ years of experience demonstrating depth and breadth in state-of-the-art machine learning, deep learning, optimization.
 </li>
 <li>
 Demonstrated experience in developing core AI algorithms in industry or for real-world problems.
 </li>
 <li>
 Proven track record of implementing robust and scalable industrial AI solutions.
 </li>
 <li>
 Experience with hybrid physics based and data driven modeling.
 </li>
 <li>
 Experience in the Oil &amp; Gas industry, specifically in oil and gas exploration &amp; production companies or oil field services companies, is a plus.Strong understanding of the unique challenges and complexities involved in Oil &amp; Gas production and optimization.
 
 
 </li>
 </ul>
 
 Key Skills
 
 
 
 <ul>
 <li>
 Strong background in applied mathematics, algorithms, and coding.
 </li>
 <li>
 Proficiency in statistics, machine learning, and deep learning.
 </li>
 <li>
 Proficiency in Python programming and data analysis libraries (e.g., Pandas, NumPy).
 </li>
 <li>
 Proficiency in data manipulation, cleaning, preprocessing and feature engineering &hellip;
 </li>
 <li>
 Proficiency in deep learning frameworks (e.g. Keras, PyTorch).
 </li>
 <li>
 Theoretical and practical knowledge of popular machine learning algorithms (e.g., PCA, Support Vector Machines, RandomForest, XGBoost, skforecast).
 </li>
 <li>
 Theoretical and practical knowledge of popular optimization methodologies (ex. PSO, GA, SGD&hellip;).
 </li>
 <li>
 Experience with common development tools (e.g., PyCharm, Jupyter, Docker, Git).
 </li>
 <li>
 Excellent communication skills, both verbal and written.
 </li>
 </ul>
</div>

Data Scientist

Cleveland Clinic Abu Dhabi

<div>
 
 JOB SUMMARY
 
 
 The Data Scientist will extract and analyze large datasets from a range of heterogenous business applications, most
 
 
 importantly the electronic medical record EMR. Using statistical, artificial intelligence and machine learning tools and
 
 
 algorithms, the data scientist will discover and offer insights into the data. They will design, develop, build and validate
 
 
 predictive, machine learning and AI models based on requirements and communicate the results in an understandable
 
 
 manner, and once approved by the business, the algorithms and models will be deployed into the production
 
 
 environment.
 
 
 
 
 
 PRIMARY JOB DUTIES AND RESPONSIBILITIES:
 
 
 &middot; Collaborate with the business stakeholders to document the business requirements, anticipated benefits, and
 
 
 success criteria for analytics initiatives
 
 
 &middot; Collaborate with subject matter experts to define the use case and to prepare an exhaustive set of potential features for analysis &middot; Perform feature engineering for optimization and dimensionalityreduction &middot; Perform advanced descriptive and diagnostic analytics (Exploratory Data Analysis) &middot; Perform Data Profiling &middot; Extract, process, clean, and validate quality datasets &middot; Assist data engineers in implementing data pipelines &middot; Conduct Experiment Design &middot; Identify multiple predictive, machine learning and AI algorithms that potentially fit the business case &middot; Write general, reusable code for repeatable analysis &middot; Evaluate and tune the models using various performance and error measures, hyper parameter tuning and cross validation techniques &middot; Select the final model based on performance &middot; Document and present the model findings to the business by explaining the model assumptions and validation methodologies &middot; Deploy the model by integrating it with the EMR or other business applications / systems &middot; Monitor the model for data and concept drift and retrain or tune the model as required &middot; Build visual interfaces with &ldquo;what-if&rdquo; functionality for business user interaction.
 
 
 
 
 
 ROLE LEVEL ACCOUNTABILITIES
 
 
 &middot; Adheres to CCAD&rsquo;s standards as they appear in the Code of Conduct and Conflict of Interest policies
 
 
 
 
 
 In view of the evolving needs and opportunities within CCAD, this position may be required to perform other duties
 
 
 as assigned and reporting relationships may vary.
 
 
 
 
 
 ORGANIZATION-WIDE COMPETENCY ASSESSMENT REQUIREMENTS:
 
 
 All employees will embrace the CCAD mission, vision and values and be responsible for adhering to the core values of the institution, including: Patient&rsquo;s First, Collaboration, Mutual Respect, Quality, Patient Safety, Integrity, Cultural Sensitivity and Compassion. All employees are also expected to meet the standards of performance outlined in the Organization-Wide Competencies listed below as applied to the position. Customer Service Orientation includes attitude, behavior, interpersonal skill and problem solving that enable an employee to respond to internal and external customer needs and expectations in a positive manner. Adaptability including teamwork, flexibility needed to fulfill job responsibilities, adapting to changes in work environment and accepting supervisory feedback. Efficiency and Effectiveness includes quantity and quality of desired work, as well as organization skills necessary to perform successfully. Essential Job Requirements includes adherence to all relevant policies, procedures and guidelines affecting the work environment, as well as maintenance of required competencies and communication skills. Managerial Responsibilities includes overall accountability for assigned work group relative to operational goals, personnel requirements and budgetary constraints.
 
 
 
 
 
 Education Bachelors in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics Masters in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics
 
 
 Experience 5+ years 3+ years
 
 
 Certification and
 
 
 Licensure
 
 
 Professional
 
 
 Membership
 
 
 Job Specific Skills and
 
 
 Abilities &middot; Excellent oral and written communication skills. &middot; Experience with Principal Component Analysis and Linear Discriminant analysis &middot; Experience with Visual Analytics tools &middot; Experience with Correlations, Clustering, Imputation, De-skewing, Normalization and Outlier Analysis &middot; Experience with statistical analysis, Inferential statistics, hypothesis testing, Bayesian statistics, probability theory, Exploratory data analysis, Correlation - Regression analysis, design of experiments, sample size calculation etc. &middot; Experience with extracting data from database management systems &middot; Experience with transformation and cleaning of both structured and unstructured data &middot; Experience with Agile Software Development methodologies &middot; Experience with Software Engineering &middot; Experience in predictive modelling, Time series analysis, machine learning, neural networks, deep learning and reinforcement learning. Deep knowledge of traditional ML concepts such as GLMs, GMMs, SVMs, &middot; Healthcare experience is preferred
 
 
 random forest, regression , decision trees, and boosting. &middot; Experience with AI models, Tensorflow, Open AI, LLMs &middot; Experience with MLOPS, LLMOPS, deploying models into production &middot; Experience with User Interface (UI) development Experience with the following software: &middot; Cloud Platforms: Fabric, Azure, AWS, GCP &middot; Database Management Systems MS SQL Server, Azure Data Lake, Azure Synapse &middot; Data Wrangling: MS SSIS, Azure Data Factory &middot; Statistical Analysis Software: SAS, SPSS, Minitab &middot; Version Control: GitHub &middot; Platform: Databricks, Azure ML &middot; Scripting Language: Python / R and libraries (Pandas, NumPy, Seaborn, Matplotlib) &middot; Query Language: SQL &middot; Other Languages: Spark SQL &middot; AI &amp; ML Frameworks : TensorFLow, Keras , PyTorch , GANs, CNN, Caffe, Scikit-learn, Spark ML &middot; Deployment Software: Docker &middot; Visual Analytics: Power BI, Tableau, Minitab, Excel &middot; UI Tools: Shiny, Power Apps
 
 
 
</div>

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>

AceNet

<div>
 
 
 Experience:
 
 7 to 12 years
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 Key Responsibilities :
 
 
 
 *Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.
 
 
 *Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.
 
 
 *Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.
 
 
 *Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.
 
 
 *Development of predictive models for debt management and reporting on optimal debt strategies.
 
 
 *Insights and visual reports on the influence of external economic indicators and trends on national financial planning.
 
 
 *Identification and documentation of additional use cases, along with
 
 
 recommendations for refining and optimizing existing analytics models.
 
 
 
 
 
 
 Role Requirements and Qualifications:
 
 
 
 *Proficiency in Python, R, or similar languages for machine learning.
 
 
 *Hands-on experience with data platforms and cloud-based analytics.
 
 
 *Strong understanding of public sector finance and economic modeling.
 
 
 *Experience in dashboard development using Tableau is a plus.
 
 
 *The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.
 
 
 
 
 
 
 Why Join Us:
 
 
 
 *Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
 
 
 *Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.
 
 
 *Competitive compensation &amp; benefits, ESOPs and international assignments.
 
 
 *Supportive environment with healthy work-life balance and a focus on employee well-being.
 
 
 *Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
 
 
 
 
 
 
 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>

First Abu Dhabi Bank (FAB)

<div>
 
 Join the UAE&rsquo;s largest bank and one of the world&rsquo;s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting &amp; dynamic industry.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 ROLE PROFILE:
 
 
 
 
 
 &bull;
 
 Designs and develops scalable machine learning models and AI-driven solutions
 
 to address complex business challenges and enhance decision-making processes
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 :
 
 
 
 
 &bull;
 
 Work with large and complex data sets
 
 to solve challenging business problems
 
 
 
 
 &bull;
 
 Collect, clean, and preprocess large datasets
 
 for analysis &amp; model training
 
 
 
 
 &bull;
 
 Perform exploratory data analysis
 
 (EDA) to uncover insights and inform model development
 
 
 
 
 &bull;
 
 Develop, train, and optimize machine learning models
 
 using state-of-the-art algorithms and frameworks
 
 
 
 
 &bull;
 
 Build end-to-end ML pipelines
 
 , including data ingestion, transformation, model training, validation, and deployment
 
 
 
 
 &bull;
 
 Automate workflows for model training, testing, and deployment
 
 using CI/CD pipelines and MLOps tools
 
 
 
 
 &bull;
 
 Collaborate with cross-functional teams
 
 to integrate models into applications and deliver end-to-end solutions
 
 
 
 
 
 
 Qualifications
 
 
 
 
 &bull;
 
 5+ years of experience
 
 in data science, machine learning, or AI
 
 
 
 
 &bull;
 
 Expertise in supervised/unsupervised learning
 
 , deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
 
 
 
 
 &bull;Strong proficiency in
 
 Python and/or R
 
 ; familiarity with
 
 SQL
 
 for data querying
 
 
 
 
 &bull;Ability to
 
 build data pipelines
 
 (Spark, Airflow, Hadoop) and work with big data tools
 
 
 
 
 &bull;
 
 Understanding of model serving
 
 ,
 
 API development
 
 (FastAPI, Flask), and
 
 optimizing model performance
 
 for real-time or batch inference.
 
 
 
 
 &bull;
 
 Knowledge of Docker, Kubernetes, CI/CD pipelines
 
 , and tools like MLflow/Kubeflow for model lifecycle management (MLOps)
 
 
 
 
 &bull;
 
 Experience deploying models
 
 on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)
 
 
 
 
 &bull;Educational qualifications:
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required
 
 
 
 
</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

TAT IT Technolgies

<div>
 
 Urgent requirement for AI Engineer is required for one of biggest financial company in Abu Dhabi , UAE
 
 
 
 
 Experience specializing in building and managing AI projects in the financial domain.--Must
 
 
 
 
 Expertise encompasses product management, data science, programming, data analytics, and database management.--Must
 
 
 
 
 Qualification : Preffered degree in Data Scientist
 
 
 
 <ul>
 <li>
 Minimum 5 years in AI/ML roles, specialized in GenAI solutions.
 </li>
 <li>
 Design and develop conversational AI systems and intelligent chatbots.
 </li>
 <li>
 Demonstrated experience in designing and developing conversational AI systems and intelligent chatbots for enterprise use cases.
 </li>
 <li>
 Strong proficiency in building and fine-tuning generative AI models aligned with specific business objectives.
 </li>
 <li>
 Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) and agentic workflows to enhance contextual relevance and task automation.
 </li>
 <li>
 Developed chatbots for PIMCO analyst views and company research,
 </li>
 <li>
 leveraging data from PDFs, emails, web scraping, external APIs, and Snowflake tables.
 </li>
 <li>
 Built pipelines for data ingestion, metadata extraction, embeddings, and vector store retrieval to deliver accurate, context-aware answers and generate custom reports on securities.
 </li>
 <li>
 Data extraction from pdfs using OCRs.
 </li>
 <li>
 Implemented XGBoost models to predict user purchase probabilities for alternative assets and municipal bonds
 </li>
 <li>
 Designed an SVD-based recommendation system to suggest securities tailored to user profiles and investment patterns
 
 
 </li>
 </ul>
 Skills: ai,gen ai,automation
</div>

AI Engineer

Explore 688+ Analytical data scientist in Abu Dhabi this October. Find roles across top companies and apply now to boost your career.

688 analytical data scientist jobs IN Abu Dhabi

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist - Takamul

AI Engineer