data analyst

senior data scientist

web developer

backend developer

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senior data developer

1inch Labs

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 
 
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 
 
 
 Location: We hire with a focus on Dubai and Europe. For this role, we prefer candidates who are either based in Dubai or working remotely within +/- 4 hours GST time.
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help strengthen our growing Data &amp; Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They&rsquo;ll also support product, business, and strategic decision-making through advanced analytics.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Activiley shaping how company uses data for strategic decisions
 </li>
 <li>
 Enhance data infrastructure and tooling for improved efficiency
 </li>
 <li>
 Support critical business units with ad-hoc analytics and insights
 </li>
 <li>
 Conduct deep-dive research and analysis to uncover actionable findings
 </li>
 <li>
 Improve data collection and analytics processes across teams
 </li>
 <li>
 Ensure dashboards provide clarity, usability, and real-time visibility
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience in data science, data analytics, or related field
 </li>
 <li>
 Proven track record of implementing data infrastructure improvements and optimisations
 </li>
 <li>
 Prior experience working with blockchain tools or DeFi data strongly preferred
 </li>
 <li>
 Strong proficiency in SQL, Python, and data visualisation tools
 </li>
 <li>
 Experience with data warehousing, ETL processes, and data pipeline optimisation
 </li>
 <li>
 Understanding of statistical concepts and practical experience applying them
 </li>
 <li>
 Ability to translate complex findings into clear, actionable insights
 </li>
 <li>
 Collaborative mindset with excellent communication skills to work effectively across teams
 
 
 </li>
 </ul>
</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>

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>

<div>Role Summary
We are seeking an accomplished Senior Data Modeller with a strong track record in banking and consulting environments. The role involves leading the design, governance, and optimization of enterprise-wide data models, ensuring high-quality, scalable, and compliant data structures that support critical financial operations, regulatory reporting, advanced analytics, and AI. The ideal candidate combines deep technical expertise with business acumen from financial services and the ability to deliver structured solutions in complex consulting projects.
Requirements
Key Responsibilities<ul>
<li>Lead the development, implementation, and maintenance of enterprise data models across banking products, risk, treasury, and regulatory domains.</li>
<li>Establish and enforce data modeling standards and governance frameworks tailored for highly regulated financial institutions.</li>
<li>Partner with Data Architects, Engineers, and Business Analysts to ensure data models align with both business needs and regulatory requirements (Basel III, IFRS, BCBS 239, AML/KYC).</li>
<li>Translate complex banking processes (credit, risk, treasury, payments, capital markets) into structured and reusable data models.</li>
<li>Oversee data lineage, metadata, and master data entities, ensuring transparency and traceability for audits and compliance.</li>
<li>Manage impact analysis for schema and structural changes, ensuring minimal disruption to core banking operations and reporting.</li>
<li>Collaborate with consulting partners and internal teams to drive data transformation programs, system migrations, and cloud adoption.</li>
<li>Deliver data model strategies that enable AI/ML initiatives, stress testing, scenario analysis, and customer analytics.</li>
<li>Mentor and guide data modelers, embedding consulting-grade delivery standards.</li>
</ul>Required Qualifications<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.</li>
<li>10+ years of experience in data modeling, including banking sector exposure and consulting/Big 4/strategy firm project delivery.</li>
<li>Proven ability to design and implement conceptual, logical, and physical data models for banking domains(risk, finance, treasury, compliance, customer data).</li>
<li>Proficiency with data modeling tools (e.g., Erwin, ER/Studio, SAP PowerDesigner).</li>
<li>Strong knowledge of relational databases (Oracle, SQL Server, PostgreSQL) and modern platforms (Snowflake, BigQuery, Redshift).</li>
<li>Experience in data governance, metadata management, and regulatory reporting data structures.</li>
<li>Familiarity with cloud platforms (AWS, Azure, GCP) and modern architectures (data lakes, data mesh).</li>
<li>Excellent stakeholder management with experience presenting to C-levels in banks and financial regulators.</li>
</ul>Preferred Qualifications<ul>
<li>Previous experience in top consulting firms (Big 4, Accenture, Capgemini, or similar).</li>
<li>Hands-on involvement in banking transformation programs, such as core banking replacement, regulatory reporting modernization, or data strategy engagements.</li>
<li>Exposure to NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling approaches.</li>
<li>Professional certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM for financial context) are highly desirable.</li>
</ul>Tools &amp; Technologies (Relevant Exposure)<ul>
<li>Data Modeling: Erwin, ER/Studio, PowerDesigner</li>
<li>Banking Systems: Temenos, Finacle, Murex, Calypso</li>
<li>Databases: Oracle, SQL Server, PostgreSQL, Snowflake, BigQuery, Redshift</li>
<li>Governance: Collibra, Informatica, Alation</li>
<li>Analytics &amp; BI: Tableau, Power BI, SAS, Qlik</li>
<li>Regulatory/Finance Context: Basel III, IFRS, BCBS 239, ICAAP/ILAAP frameworks</li>
</ul>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 Modeler

One Development

<div>
 
 
 One Development
 
 , a leading real estate developer based in Dubai, is seeking a
 
 Performance &amp; Business Intelligence Reporting Analyst
 
 to join our growing team at the
 
 holding level
 
 .
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 This role is focused on monitoring
 
 KPI performance
 
 and the
 
 overall operational efficiency
 
 of our subsidiaries across the group. You will be responsible for preparing executive-level
 
 performance reports and dashboards using Power BI
 
 , with regular presentations delivered to the
 
 Chairman and senior leadership
 
 . Arabic fluency and experience in the
 
 real estate sector
 
 are essential.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Monitor and analyze KPIs and business performance across subsidiaries.
 </li>
 <li>
 Prepare detailed monthly and ad-hoc performance reports for the Chairman.
 </li>
 <li>
 Design and maintain Power BI dashboards that provide insights into operational and financial performance.
 </li>
 <li>
 Work closely with finance, operations, and executive teams to gather and validate key data inputs.
 </li>
 <li>
 Identify trends, variances, and areas of improvement using data-driven insights.
 </li>
 <li>
 Ensure data integrity and standardization across reporting systems.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience in performance reporting, business intelligence, or analytics.
 </li>
 <li>
 
 Experience in real estate industry
 
 is
 
 mandatory
 
 &ndash; ideally within a developer or holding group.
 </li>
 <li>
 Proven expertise in
 
 Power BI
 
 &ndash; dashboard creation, data modeling, and visualization.
 </li>
 <li>
 Strong command of
 
 Excel
 
 and data analysis tools.
 </li>
 <li>
 Deep understanding of business performance metrics and reporting frameworks.
 </li>
 <li>
 
 Fluency in Arabic and English
 
 (written and spoken) is
 
 required
 
 .
 </li>
 <li>
 Strong analytical thinking, attention to detail, and ability to work independently.
 </li>
 <li>
 Bachelor&rsquo;s degree in Business, Finance, Economics, Data Analytics, or a related field.
 </li>
 </ul>
</div>

Performance & Business Intelligence Reporting Analyst (Real Estate)

City of Gold

Senior Full Stack DeveloperThe Senior Full Stack Developer is a technical leader who will drive the design, development, and architecture of our complex web applications. This role requires deep technical expertise across the full stack, the ability to mentor mid-level developers, and strong strategic input on technology choices and best practices.Key Responsibilities<ul><li>Lead the design and development of scalable, secure, and high-performance applications from concept to deployment.</li><li>Define and implement application architecture (front-end and back-end) to meet non-functional requirements (scalability, performance, security).</li><li>Provide technical mentorship and guidance to mid-level and junior developers, promoting coding standards and best practices.</li><li>Conduct in-depth code reviews to ensure high code quality, performance, and adherence to established patterns.</li><li>Manage complex database operations including performance tuning, data migration, and advanced schema design in MySQL/MariaDB.</li><li>Oversee CI/CD pipelines and DevOps practices, particularly within the AWS cloud environment using tools like Docker.</li><li>Act as a key stakeholder in technical decision-making, evaluating new technologies, and setting the technical roadmap.</li><li>Drive troubleshooting and resolution of complex production issues.</li></ul>Required Skill RequirementsCategoryMust-Have Skills (Deep Expertise)Front-EndExpert-level proficiency in React.js (performance optimization, complex state management, custom hooks) and the broader JavaScript/TypeScript ecosystem.Mastery of front-end build tools (Webpack, Vite, Babel) and optimization techniques.Back-EndExpert-level proficiency in Node.js and designing highly scalable and secure microservices or robust back-end architecture.Deep knowledge of API design principles (REST, and ideally GraphQL).DatabaseAdvanced database management: Expert with MySQL and/or MariaDB, including query optimization, replication, clustering, and security best practices.ArchitectureProven experience in defining, documenting, and implementing system architecture (e.g., microservices, event-driven architecture).DevOpsStrong, practical experience with DevOps practices, including CI/CD pipeline setup and management.Proficiency with AWS cloud services (e.g., ECS/EKS, Lambda, SQS, DynamoDB, RDS) and containerization using Docker.LeadershipProven experience in mentoring junior/mid-level developers and leading technical projects.Optional/Preferred Skill RequirementsCategoryOptional SkillsState ManagementExpert-level experience with advanced state management like Redux-Saga/Thunk or equivalent.OtherExperience with NoSQL databases (e.g., MongoDB, Redis).Knowledge of security best practices (OWASP Top 10) and implementation.How to Apply: Please submit your CV and portfolio/GitHub link or list of completed projects (if available) via Indeed. Shortlisted candidates will be invited for an online initial interview.Job Type: Full-timeAbility to commute/relocate:<ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>How many years of experience do you have as a Senior Full Stack Developer?</li></ul>Location:<ul><li>Dubai (Required)</li></ul>

Senior Full Stack Developer

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>

Explore 3103+ Senior data developer in Dubai this October. Find roles across top companies and apply now to boost your career.

3103 senior data developer jobs IN Dubai

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Modeler

Performance & Business Intelligence Reporting Analyst (Real Estate)

Senior Full Stack Developer

Senior Data Scientist