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Deeplight

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

Senior Data Scientist

Deeplight AI

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

DATAIKU

<div><div>Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.</div>
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.

In this role, you'll help the team:
<ul>
<li>Co-develop production-level data science projects with our customers
</li>
<li>Analyse and investigate various kinds of data and machine learning applications across industries and use cases
</li>
<li>Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
</li>
<li>Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams
</li>
<li>Develop custom Python-based &quot;plugins&quot; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku's functionality
</li>
</ul>You might be a good fit for the role if you have:
<ul>
<li>English - fluent, Arabics - fluent/native will be a big plus</li>
<li>
Curiosity and a desire to learn new topics and skills
</li>
<li>Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public
</li>
<li>The ability to clearly explain complex topics to technical as well as non-technical audiences
</li>
<li>2 - 10 years of experience with Python and SQL
</li>
<li>2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
</li>
<li>Familiarity with data visualisation in Python and R
</li>
<li>Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
</li>
</ul>Technical skills that may help you in the role:
<ul>
<li>Experience with Consulting and/or Customer-facing Data Science roles
</li>
<li>Experience with Data Engineering or MLOps
</li>
<li>Experience developing WebApps in JavaScript, RShiny, or Dash
</li>
<li>Experience building APIs
</li>
<li>Experience using enterprise data science tools
</li>
<li>Passion for teaching or public speaking
</li>
</ul>#LI-AS2<div><div> 
</div>
<div>What are you waiting for!</div>
<div>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page.</div>
<div></div>
<div>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com</div> 
<div></div>

<div></div><div><div>Protect yourself from fraudulent recruitment activity</div>
<div>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.</div></div></div></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

SoftServe

<div>
 
 
 WE ARE
 
 
 
 Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of data science, providing tons of experience and working with the best talents in the field.
 
 
 In the Data Science Center of Excellence, we contribute to a wide range of projects in different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.
 
 
 
 IF YOU ARE
 
 
 <ul>
 <li>
 A holder of a Ph.D. or master's degree in computer science or a related field
 </li>
 <li>
 Experienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond)
 </li>
 <li>
 Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generation
 </li>
 <li>
 Competent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI
 </li>
 <li>
 Adept at applying advanced deep learning techniques in practical scenarios
 </li>
 <li>
 Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applications
 </li>
 <li>
 Proficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasks
 </li>
 <li>
 Aware of the software development lifecycle of AI projects, machine learning operation processes
 </li>
 <li>
 Experienced with AI solutions deployment to the main cloud providers
 </li>
 <li>
 Hands-on with Python and TensorFlow or PyTorch
 </li>
 <li>
 Possessing strong interpersonal, analytical, and problem-solving skills
 </li>
 <li>
 Easily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understand
 </li>
 <li>
 Capable of maintaining business communication in English at the upper-intermediate level
 </li>
 </ul>
 
 
 
 
 
 AND YOU WANT TO
 
 
 <ul>
 <li>
 Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production
 </li>
 <li>
 Choose relevant computational tools for study, experiment, or trial research objectives
 </li>
 <li>
 Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques
 </li>
 <li>
 Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications
 </li>
 <li>
 Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
 </li>
 <li>
 Present results directly to stakeholders and gather business requirements
 </li>
 <li>
 Develop expertise in state-of-the-art Generative AI techniques and methodologies
 </li>
 <li>
 Grow your skill set within a dynamic and supportive environment
 </li>
 <li>
 Work with Big Data solutions and advanced data tools in cloud platforms
 </li>
 <li>
 Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights
 </li>
 <li>
 Lead teams of data scientists and software engineers to successful project execution
 </li>
 </ul>
 
 
 
 
 
 TOGETHER WE WILL
 
 
 <ul>
 <li>
 Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
 </li>
 <li>
 Drive innovation in the realm of Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generation
 </li>
 <li>
 Communicate with the world-leading companies from our logos portfolio
 </li>
 <li>
 Enjoy the opportunity to work with the latest modern tools and technologies on various projects
 </li>
 <li>
 Participate in international events and get certifications in cutting-edge technologies
 </li>
 <li>
 Have access to powerful educational and mentorship programs
 </li>
 <li>
 Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise
 </li>
 </ul>
 
 
 
 
 
 SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.
 
 
</div>

Explore 3503+ Senior data scientist in United Arab Emirates this October. Find roles across top companies and apply now to boost your career.

3503 senior data scientist jobs IN United Arab Emirates

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Takamul

Senior Data Scientist