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senior data scientist Jobs in United Arab Emirates

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data analyst Jobs in United Arab Emirates

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senior data analyst Jobs in United Arab Emirates

senior data analyst

senior data engineer Jobs in United Arab Emirates

senior data engineer

data scientist

DICETEK LLC

<div>Role Summary: The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights, and support data-driven decision-making.
Key Responsibilities:<ul><li>Data Collection &amp; Processing</li></ul>
o Extract, clean, and preprocess structured and unstructured data from multiple sources.
o Ensure data integrity, quality, and governance.
<ul><li>Analytics</li></ul>
o Apply statistical methods to solve business problems.
o Develop algorithms to optimize business processes (e.g., customer record segmentation, duplicate detection, recommendation for efficiency optimisation).
<ul><li>Visualization &amp; Reporting</li></ul>
o Build dashboards and visualizations to communicate findings to stakeholders.
o Translate complex results into actionable insights for non-technical audiences.<ul><li> 
Collaboration</li></ul>
o Work closely with project implementation teams to understand requirements and deliver data solutions.
o Collaborate with data engineers to expedite data driven conclusions and opportunity areas.
Required Skills &amp; Qualifications<ul><li>Education: Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Mathematics, Data Science, or related field.</li></ul> 
Technical Skills:
o Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, matplotlib).
o Strong knowledge of statistics, probability, and hypothesis testing.
o Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). 
Business Skills:
o Ability to translate data insights into business recommendations.
o Strong problem-solving and critical-thinking skills.
Preferred Qualifications<ul><li>Experience with big data technologies (Spark, Hadoop).</li><li>Familiarity with cloud platforms (AWS, Azure, GCP).</li><li>Publications or project work demonstrating data science applications.</li></ul>
Key Performance Indicators (KPIs)<ul><li>Accuracy and robustness of conclusions basis data study.</li><li>Business value generated through data insights.</li><li>Timeliness and quality of reports and dashboards.</li><li>Stakeholder satisfaction and adoption of data-driven solutions.</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>

MBC GROUP

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Model Development &amp; Implementation: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
 </li>
 <li>
 AI Solutions: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
 </li>
 <li>
 Data Analysis &amp; Exploration: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
 </li>
 <li>
 Collaborative Problem Solving: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
 </li>
 <li>
 Model Optimization: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
 </li>
 <li>
 Scalability &amp; Performance: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
 </li>
 <li>
 Stay Current with AI Trends: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
 </li>
 <li>
 Reporting &amp; Communication: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
 </li>
 <li>
 Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or similar.
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
 </li>
 <li>
 Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
 </li>
 <li>
 Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
 
 
 </li>
 </ul>
 Unfortunately, due to the high number of responses we receive we are unable to provide feedback to all applicants. If you have not been contacted within 5-7 days, please assume that at this stage your application has been unsuccessful.
</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>

AXIAN Telecom

<div>
 
 The Chief Data Scientist leads the strategic vision, development, and application of advanced analytical models, machine learning, and artificial intelligence solutions for IT Co. This role is crucial for transforming raw data into actionable insights, building intelligent products, and enabling data-driven decision-making for Axian Telecom's clusters and external clients. This position ensures IT Co remains at the forefront of AI and data science innovation, driving value creation across all service offerings.
 
 
 
 
 
 
 
 MAIN FUNCTIONS
 
 
 
 
 
 
 
 The Chief Data Scientist is responsible for pioneering and implementing IT Co&rsquo;s data science and AI capabilities, developing advanced analytical models, and translating complex data insights into tangible business value. This involves leading a team of data scientists and AI experts, setting the technical direction for AI/ML development, and ensuring the effective integration of data science solutions into IT Co's service offerings for Axian Telecom's clusters and external clients.
 
 
 
 
 
 
 
 
 
 RESPONSIBILITES
 
 
 
 
 ACTIVITIES / TASKS
 
 
 
 
 Lead AI and Data Science Strategy &amp; Development:
 
 
 <ul>
 <li>
 Define and drive the strategic roadmap for IT Co&rsquo;s AI and data science capabilities, including AI Ideation, AI Use Case Validation, AI-Product Development, AI Model Development, MLOps, and Agentic AI.
 </li>
 <li>
 Oversee the research, development, and implementation of advanced machine learning models and artificial intelligence solutions to address complex client business problems and create new service offerings.
 </li>
 <li>
 Establish best practices for data science methodology, model governance, deployment (MLOps), and ethical AI principles within IT Co..
 </li>
 </ul>
 
 
 Drive Data-Driven Innovation and Insights for Clients
 
 
 <ul>
 <li>
 Lead initiatives to extract actionable insights from complex datasets, utilizing techniques such as Data Insights, Computer Vision, and Language Technologies, specifically tailored to client needs and challenges.
 </li>
 <li>
 Collaborate with the Head of Business Intelligence and Head of Data Engineering to ensure data availability, quality, and architecture support advanced analytical needs for client projects.
 </li>
 <li>
 Identify new opportunities for applying AI and data science to enhance existing IT Co services and develop new, innovative solutions directly for clients..
 </li>
 </ul>
 
 
 Support Pre-Sales and Direct Client Engagement
 
 
 <ul>
 <li>
 Act as the primary technical expert for data science and AI in client-facing pre-sales engagements, articulating the value and feasibility of proposed solutions to clients and stakeholders.
 </li>
 <li>
 Develop compelling demonstrations and prototypes of AI/ML capabilities tailored to specific client challenges and use cases.
 </li>
 <li>
 Collaborate with sales teams to understand client needs and contribute to the technical aspects of proposals for data science and AI projects.
 </li>
 </ul>
 
 
 Foster Technical Expertise and Team Growth
 
 
 <ul>
 <li>
 Lead, mentor, and develop a high-performing team of data scientists, machine learning engineers, and AI researchers, fostering a culture of innovation and continuous learning to better serve clients.
 </li>
 <li>
 Stay abreast of the latest advancements in AI, machine learning, and data science, ensuring IT Co maintains a competitive edge in its offerings for the client market.
 </li>
 <li>
 Drive knowledge sharing and best practices across IT Co's technical teams, especially concerning the application of AI and data science in client solutions.
 </li>
 </ul>
 
 
 
 
 Any additional or related activities requested by the Management and/or his/her supervisor within his/her competence and expertise.
 
 
 
 
 
 
 LEVEL OF EDUCATION:
 
 
 <ul>
 <li>
 PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, or a closely related quantitative field. Global Top Tier University Graduate is a plus.
 </li>
 </ul>
 
 
 
 
 
 LEVEL OF EXPERIENCE:
 
 
 <ul>
 <li>
 More than 10 years of progressive experience in data science, machine learning, or AI development, with at least 5 years in a senior leadership or principal data scientist role within an IT service provider.
 </li>
 <li>
 Demonstrable experience in leading and building high-performing data science, machine learning, or AI research teams.
 </li>
 <li>
 Proven track record in successfully designing, deploying (including MLOps), and optimizing machine learning models in production environments.
 </li>
 <li>
 Experience collaborating with sales and solutioning teams in a pre-sales capacity for data science/AI projects.
 </li>
 </ul>
 
 
 
 
 
 INTERPERSONAL SKILLS REQUIRED :
 
 
 <ul>
 <li>
 
 Spirit of Initiative &amp; Problem-Solving:
 
 Proactively identifies complex data challenges and innovative AI solutions, driving their development and implementation.
 </li>
 <li>
 
 Analytical and Conceptual Thinking:
 
 Exceptional ability to break down complex problems, design robust analytical frameworks, and translate business needs into data science opportunities.
 </li>
 <li>
 
 Strategic Vision for AI:
 
 Ability to articulate a compelling long-term vision for AI and data science capabilities and their impact on IT Co's services.
 </li>
 <li>
 
 Results-Oriented:
 
 Focused on delivering tangible business outcomes and measurable value through data science and AI initiatives.
 </li>
 <li>
 
 Excellent Communication and Storytelling:
 
 Ability to explain complex algorithms and data insights clearly and persuasively to both technical and non-technical audiences, including C-level executives and clients.
 </li>
 <li>
 
 Collaboration &amp; Influence:
 
 Strong ability to work cross-functionally with data engineers, architects, business intelligence specialists, and external partners.
 </li>
 <li>
 
 Mentorship &amp; Team Development:
 
 Proven capability to guide and grow a team of data scientists.
 </li>
 </ul>
 
 
 
 
 
 SPECIAL REQUIREMENTS:
 
 
 
 
 
 
 
 
 Computer tools :
 
 
 
 <ul>
 <li>
 
 Advanced Statistical Modeling &amp; Machine Learning:
 
 Expertise in various ML algorithms (supervised, unsupervised, reinforcement learning), deep learning frameworks (TensorFlow, PyTorch), and statistical analysis techniques.
 </li>
 <li>
 
 Data Manipulation &amp; Programming:
 
 Proficiency in Python, R, Scala, or similar, with strong experience in data manipulation libraries (e.g., Pandas, NumPy) and SQL.
 </li>
 <li>
 
 Big Data Technologies :
 
 Experience with distributed computing frameworks (e.g., Spark, Hadoop) and cloud-based data platforms (e.g., Databricks, Snowflake, Google Cloud AI Platform, AWS SageMaker, Azure ML).
 </li>
 <li>
 
 MLOps &amp; Deployment :
 
 Practical experience with machine learning operations (MLOps) tools and practices for model versioning, deployment, monitoring, and retraining in production environments.
 </li>
 <li>
 Cloud AI Services: Familiarity with AI/ML services offered by major cloud providers (AWS, Azure, GCP).
 </li>
 <li>
 
 Experimentation Design:
 
 Strong understanding of A/B testing, causal inference, and experimental design for measuring impact.
 </li>
 <li>
 
 Ethical AI &amp; Bias Detection:
 
 Knowledge of principles for responsible AI development, including fairness, transparency, and explainability.
 </li>
 </ul>
 
 
 
 
 
 
 Language skills :
 
 
 
 <ul>
 <li>
 
 Essential: Fluent in English (written and verbal).
 
 </li>
 </ul>
 
 
 
 
 
 
 Others :
 
 
 
 <ul>
 <li>
 
 Deep Analytical Acumen
 
 : Ability to rapidly understand complex business problems and formulate data science solutions.
 </li>
 <li>
 
 Very High Availability and Geographical Mobility
 
 : Willingness and ability to travel as required to collaborate with Axian Telecom clusters or clients.
 </li>
 <li>
 Thought Leadership: Ability to represent IT Co externally as an expert in data science and AI.
 </li>
 </ul>
 
 
</div>

Chief 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>

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>

Explore 2487+ Data scientist in United Arab Emirates this October. Find roles across top companies and apply now to boost your career.

2487 data scientist jobs IN United Arab Emirates

Data Scientist

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Data Scientist

Chief Data Scientist

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Senior Data Scientist