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data & business analyst Jobs in Abu Dhabi

data & business analyst

data analyst

junior research scientist in the division of social science (data science) - dr. bedoor alshebli Jobs in Abu Dhabi

junior research scientist in the division of social science (data science) - dr. bedoor alshebli

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>

Data Scientist

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>

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>

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>

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>

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

First Abu Dhabi Bank

<div>Company Description 
FAB, the UAE's largest bank and one of the world's most secure financial institutions, is dedicated to creating value for its employees, customers, shareholders, and communities. Through innovation, agility, and differentiation, FAB is committed to fostering growth.
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 and dynamic industry. 
Job Description 
Core Responsibilities:
<ul><li>Work closely with business segments within PBG so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support acquisition, cross-sell, up-sell, retention and win back</li><li>
Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.</li><li>
Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, unstructured data sources such emails, log files, social media etc.</li><li>
Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.</li><li>
Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.</li></ul>
Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit. 
Qualifications 
Minimum Qualification:<ul><li>
Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.</li><li>
Additional degree or certifications in the field related to the data science/Analytics is preferred.</li></ul>
Minimum Experience:<ul><li>
Minimum 2 years of experience in a large Analytics or BI function in a financial services organization with relevant quantitative and qualitative research and analytics experience</li><li>
Experience and an understanding of a wide variety of analytical processes.</li></ul>
Excellent written and verbal communication skills. 
Additional Information 
Technical Skills<ul><li>
SAS (Base SAS,EMiner ,EG)</li><li>
Python</li><li>
Databricks and Dataiku platform knowledge is a plus</li><li>
Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing)</li><li>
Data Visualization (Power BI)</li><li>
Deep learning frameworks (Tensorflow/pytorch/Maxnet)</li></ul></div>

Specialist- Data Scientist

Explore 539+ Data scientist in Abu Dhabi this October. Find roles across top companies and apply now to boost your career.

539 data scientist jobs IN Abu Dhabi

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Takamul

Specialist- Data Scientist