data analyst

senior technical engineer

business analyst

senior estimation engineer

sr. mechanical engineer

senior data scientist

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Senior Data Scientist &ndash; Dubai (FinTech)
 
 
 
 We&rsquo;re working with a high-growth fintech in Dubai that&rsquo;s building out a genuinely strong data science function.
 
 
 
 
 
 They&rsquo;re looking for a
 
 Senior Data Scientist
 
 with a solid grounding in
 
 traditional machine learning
 
 and a
 
 research-driven mindset
 
 to help push their models and products to the next level.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 &bull; Developing and deploying ML models across core business products
 
 
 &bull; Working closely with engineering and product teams on end-to-end solutions
 
 
 &bull; Applying rigorous experimentation and research approaches to improve performance
 
 
 &bull; Tackling real-world financial data problems at scale
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 &bull; 6+ years in Data Science / Machine Learning
 
 
 &bull; Strong experience with traditional ML (not purely LLM-focused)
 
 
 &bull; Background in research, experimentation, or advanced modelling
 
 
 &bull; Experience in fintech, banking, or other data-heavy environments is a plus
 
 
 &bull; Strong coding skills (Python, etc.)
 
 
 
</div>

Senior Data Scientist

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 
 
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 
 
 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&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;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&rsquo;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>
 
 What are you waiting for!
 
 
 
 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&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 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
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 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>

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 We&rsquo;re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won&rsquo;t just be building models, you&rsquo;ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer&rsquo;s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.
 
 
 
 
 What You'll Do
 
 
 
 
 <ul>
 <li>
 Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
 </li>
 <li>
 Inventory &amp; Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
 </li>
 <li>
 Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
 </li>
 <li>
 Dynamic Pricing &amp; Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
 </li>
 <li>
 Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
 </li>
 <li>
 End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 Academic Background &amp; Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
 </li>
 <li>
 Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
 </li>
 <li>
 Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
 </li>
 <li>
 Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
 </li>
 <li>
 Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.
 
 
 </li>
 </ul>
 
 
 What We&rsquo;ll Provide You
 
 
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Senior Data Scientist II - Supply Chain

TALENTMATE

<div>
 
 Job Description
 
 
 
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. Were all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 
 Job Description
 
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelors degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.talabat.com Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: IT Services and IT Consulting and Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Staff Data Scientist Algorithms ML

First Abu Dhabi Bank (FAB)

<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

Khazna Data Centers

<div>
 
 We are looking for a
 
 Senior Manager &ndash; Procurement Intelligence
 
 to join our team.
 
 
 
 
 
 
 JOB PURPOSE:
 
 
 
 The
 
 Senior Manager &ndash; Procurement Intelligence
 
 is accountable for building and leading the organization&rsquo;s procurement intelligence capability to enable data-driven, commercially sound, and strategically aligned procurement decisions. The role provides senior leadership with transparent, forward-looking, and actionable insights on spend, suppliers, market trends, risk exposure, and value creation opportunities&mdash;ensuring procurement becomes a strategic enabler of business growth, resilience, and cost optimization as the organization scales regionally and internationally.
 
 
 The role acts as a trusted strategic advisor to Procurement, Finance, Strategy, and Delivery leadership, translating complex data into clear insights that shape sourcing strategies, investment decisions, and long-term supply chain positioning.
 
 
 
 
 
 
 KEY ACCOUNTABILITIES:
 
 
 
 
 Procurement Intelligence Strategy &amp; Capability Building
 
 
 <ul>
 <li>
 Lead the development and delivery of procurement intelligence capabilities to support strategic sourcing, vendor selection, and commercial decision-making.
 </li>
 </ul>
 
 
 Data, Insights &amp; Decision Support
 
 
 <ul>
 <li>
 Provide clear, actionable insights on spending patterns, supplier performance, market trends, and commercial risks to senior leadership.
 </li>
 </ul>
 
 
 Scenario Planning
 
 
 <ul>
 <li>
 Support leadership in making investment and sourcing decisions with data-backed scenarios and risk assessments.
 </li>
 </ul>
 
 
 Governance, Transparency &amp; Reporting
 
 
 <ul>
 <li>
 Establish consistent procurement reporting standards and governance dashboards.
 </li>
 <li>
 Ensure transparency in spending, supplier performance, and procurement outcomes.
 </li>
 <li>
 Define and monitor meaningful KPIs.
 </li>
 </ul>
 
 
 Stakeholder Partnership &amp; Influence
 
 
 <ul>
 <li>
 Partner closely with Procurement, Finance, Strategy, and Delivery teams to ensure insights are aligned to business priorities and decision timelines.
 </li>
 <li>
 Provide advisory support to senior leadership in major procurement and investment decisions.
 </li>
 <li>
 Proactively highlight emerging risks in markets, suppliers, or geopolitical conditions affecting procurement.
 </li>
 </ul>
 
 
 Cost Optimization, Value &amp; Risk Management
 
 
 <ul>
 <li>
 Identify and drive opportunities for: Cost reduction, Value enhancement, Supplier diversification and Risk mitigation.
 </li>
 </ul>
 
 
 Budgeting and Financial Performance
 
 
 <ul>
 <li>
 Monitor the financial performance of a given area of activity versus budgets and ensure all activities are carried out in line with the approved guidelines while promptly reporting on any variances to management.
 </li>
 </ul>
 
 
 Continuous Improvement
 
 
 <ul>
 <li>
 Continuously enhance procurement intelligence processes using global best practices.
 </li>
 <li>
 Explore automation, AI, and digital analytics tools to improve efficiency and accuracy.
 </li>
 </ul>
 
 
 
 
 
 MINIMUM QUALIFICATIONS:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Procurement, Business, Finance, Engineering, Data Analytics, or related field Or Master&rsquo;s degree (preferred) MBA, Supply Chain, or Analytics.
 </li>
 </ul>
 
 
 
 
 
 MINIMUM EXPERIENCE:
 
 
 <ul>
 <li>
 10+ years&rsquo; experience in procurement, commercial analytics, or procurement intelligence roles.
 </li>
 <li>
 At least 5 years in a senior analytical or leadership role.
 </li>
 <li>
 Experience in large, complex, multi-stakeholder organizations.
 </li>
 <li>
 Exposure to infrastructure, construction, or capital-intensive industries is highly preferred.
 </li>
 </ul>
 
 
 
 
 
 JOB-SPECIFIC SKILLS:
 
 
 <ul>
 <li>
 Significant experience in procurement analytics, intelligence, or commercial decision support within large, complex organizations.
 </li>
 <li>
 Strong exposure to strategic sourcing, supplier management, and commercial analysis, ideally in capital-intensive or infrastructure-driven environments.
 </li>
 <li>
 Proven track record of supporting leadership through high-quality analysis and insight.
 </li>
 <li>
 Experience working across multiple stakeholders and navigating complex decision environments.
 </li>
 <li>
 Strong communication skills with the ability to present insights clearly to senior audiences.
 </li>
 <li>
 Exposure to advanced analytics, digital tools, or automation is an advantage.
 </li>
 </ul>
 
 
</div>

Senior Manager – Procurement Intelligence

Commercial Bank of Dubai

<div>Dubai, Dubai, AE Experienced Permanent ID: 100098</div>
 <div><div><div><div><h3 class="jobSectionHeader">DESCRIPTION</h3>
<div>JOB PURPOSE
﻿The Senior Business Intelligence Analyst is a critical control role responsible for ensuring the accuracy, integrity, and regulatory defensibility of enterprise data and reporting across the Bank.
The role serves as a trusted authority on management, financial, regulatory, and law‑enforcement reporting, translating complex business and control requirements into auditable, reconciled, and insight‑driven BI solutions, while leading advanced Power BI visualisation standards for senior management and external stakeholders.
PRINCIPAL ACCOUNTABILITIES
<ul><li>Partner with stakeholders across Business, Finance, Risk, Operations, and Compliance to understand reporting needs.</li><li>
Translate business and data requirements into functional and technical specifications.</li><li>
Own reporting delivery end‑to‑end, from intake through production.</li><li>
Lead the design of executive‑grade Power BI dashboards with intuitive storytelling, performance narratives, and actionable insights.</li><li>
Define and enforce Power BI visualization standards, including KPI definitions, layouts, drill‑downs, and user experience consistency.</li><li>
Translate complex financial, risk, and operational data into clear, decision‑ready visual narratives for senior management.</li><li>
Balance self‑service enablement with strong governance to prevent metric drift and misinterpretation.</li><li>
Own end‑to‑end data assurance, ensuring consistency between source systems, data warehouse, and published reports.</li><li>
Perform and evidence GL‑level reconciliations for balances, interest, and fee income used in management and regulatory reporting.</li><li>
Identify, investigate, and resolve material data discrepancies in partnership with Finance, Risk, and Technology teams.</li><li>
Ensure BI outputs withstand audit, regulatory, and external challenge without rework.</li><li>
Design and maintain the enterprise data warehouse and business data marts supporting BI reporting.</li><li>
Build optimised dimensional models for multi‑tool BI consumption.</li><li>
Ensure end‑to‑end data flow from source systems to final reports.</li><li>
Govern semantic layers and metadata to enable controlled self‑service analytics.</li><li>
Automate reporting processes to reduce manual effort and close cycles.</li><li>
Implement automation for data refresh, access control, and scheduling.</li><li>
Drive Power BI self‑service adoption within governance standards.</li><li>
Adhere to BICC standards, data governance, and security policies.</li><li>
Ensure timely delivery with no unmanaged backlog.</li><li>
Support audits, regulatory reviews, and senior management queries with clear data lineage.</li><li>
Deliver financial, regulatory, and law‑enforcement reports supporting internal management, external regulators, auditors, and enforcement agencies.</li><li>
Ensure reporting outputs meet strict standards of accuracy, traceability, completeness, and evidentiary quality.</li><li>
Maintain clear data lineage and reconciliation to source systems to support audits, regulatory inspections, and investigative queries.</li><li>
Act as a key data point of contact during regulatory reviews, audits, and law‑enforcement data requests.</li></ul></div></div></div></div></div>
 <div><div><div><div><h3 class="jobSectionHeader">REQUIREMENTS</h3>
<div>QUALIFICATIONS<ul><li>
Bachelor&rsquo;s degree in computer science, Finance, Accounting, Information Systems, or equivalent.
</li><li>Strong hands‑on experience with BusinessObjects 4.3, Microsoft Power BI, and SAS Viya.
</li><li>Experience in data warehousing, ETL processes, and dimensional data modelling.
</li><li>Advanced SQL skills with exposure to Oracle, MS SQL Server, DB2, Sybase, Informix.</li><li>
8+ years of experience in Business Intelligence and enterprise‑level data warehouse initiatives.
</li><li>Proven experience delivering banking, finance, risk, and regulatory reporting.
</li><li>Strong understanding of banking products, accounting standards, and control environments.</li></ul></div></div></div></div></div>

Senior Business Intelligence Analyst

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866 senior data scientist jobs In Dubai

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist II - Supply Chain

Staff Data Scientist Algorithms ML

Specialist- Data Scientist

Senior Manager – Procurement Intelligence

Senior Business Intelligence Analyst