data analyst

data scientist

senior data scientist

data engineer

senior data engineer

data science lead

Al-Futtaim

<div><p><b>Job Requisition ID: </b>174624</p>
<p>Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.</p>
<p>By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day</p><p><br>
<b>
Overview Of The Role:</b></p><br>
<ul>
<li>The Data Scientist role at Al-Futtaim is centered on designing, building, and productionizing advanced analytics and GenAI-powered solutions. The purpose of the role is to enhance insights, recommendations, and decision-making across enterprise platforms. Success is measured by the ability to develop scalable, reliable machine learning and GenAI models that meet enterprise standards of governance, security, and compliance. The incumbent will collaborate with cross-functional teams to deliver impactful data-driven insights.</li></ul><br>
<p><br>
<b>What You Will Do:</b></p><br>
<p>
</p><p>Advance Analytics &amp; Data Science</p>
<ul>
<li>Translate business problems into data science, statistical, and machine learning solutions that drive measurable outcomes across enterprise use cases.</li>
<li>Perform data exploration, feature engineering, model development, and evaluation on large-scale structured and semi-structured datasets.</li>
<li>Build and deploy predictive, prescriptive, and descriptive models, ensuring interpretability, robustness, and alignment with business objectives.</li>
<li>Partner closely with business, product, and analytics teams to validate assumptions, define success metrics, and deliver actionable insights.</li></ul><br>
<p></p>
<p>
Applied GenAI &amp; LLM Enablement</p>
<ul>
<li>Apply GenAI techniques to augment data science workflows, including LLM-based insight generation, summarization, classification, and decision support.</li>
<li>Design and implement Retrieval-Augmented Generation (RAG) solutions to ground LLM outputs in enterprise data and analytical results.</li>
<li>Collaborate on GenAI-enabled analytical applications with a focus on accuracy, relevance, and explainability.</li>
<li>Evaluate and benchmark GenAI outputs using quantitative and qualitative metrics, ensuring alignment with business and analytical standards.</li></ul><br>
<p></p>
<p>
Enterprise Productionization &amp; MLOps/ LLMOps</p>
<ul>
<li>Productionize data science and GenAI models using enterprise-grade MLOps / LLMOps practices, including versioning, deployment, monitoring, and retraining strategies.</li>
<li>Build scalable, secure, and reliable analytical pipelines in collaboration with Data Engineering and Cloud teams.</li>
<li>Monitor model performance, data drift, and GenAI output quality, and drive continuous improvements based on real-world usage.</li>
<li>Ensure solutions meet enterprise requirements for governance, security, compliance, and responsible AI.</li></ul><br>
<p></p>
<p>
Performance Measurement &amp; Continuous Improvement</p>
<ul>
<li>Define and track model and GenAI performance metrics (accuracy, stability, bias, latency, business impact).</li>
<li>Run experiments and controlled rollouts to optimize models, GenAI prompts, and retrieval strategies.</li>
<li>Continuously enhance solutions through feedback loops, experimentation, and evolving business needs.</li></ul><p><br>
<br>
<b>Required Skills To Be Successful:</b></p><br>
<ul>
<li>Strong foundation in statistics, machine learning, and applied data science.</li>
<li>Proficiency in Python, SQL, and Spark with expertise in data processing and analytical pipelines.</li>
<li>Hands-on experience with the Databricks ecosystem for deploying data science and GenAI solutions.</li>
<li>Practical exposure to MLOps / LLMOps practices, including model versioning and monitoring.</li></ul><br>
<p></p>
<p><b>
About the Team</b></p>
<p>
This role reports to Data Science Lead</p><p><br>
<b>
What Equips You For The Role:</b></p><br>
<ul>
<li>8+ years of experience in Data Science / AI Engineering, focusing on building and deploying machine learning models, including supervised, unsupervised, and time-series models.</li>
<li>6+ years of experience in feature engineering, model evaluation, and performance optimization.</li>
<li>4+ years of experience with NLP or language-based systems, including text classification, information extraction, and semantic modeling.</li>
<li>2+ years of experience in delivering GenAI or conversational AI solutions in production, focusing on applied LLM use cases, RAG, and enterprise deployment.</li></ul><p></p><p><b><br>
About Al-Futtaim Group Real Estate</b><br>
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years.<br>
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us.<br>
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.</p>
<p><b>About Al-Futtaim Malls</b><br>
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.</p>
<p>Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.</p>
<p>Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.</p>
<p>For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/</p>
<p><b>About Al-Futtaim Engineering &amp; Technologies</b><br>
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions.<br>
<br>
The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation.<br>
<br>
The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services.<br>
<br>
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</p></div><p></p>

Data Scientist

Keystone AI

<div>
 <strong>
  About Keystone AI
  <br/>
  <br/>
 </strong>
 For more than two decades, Keystone AI has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation.
 <br/>
 <br/>
 Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That&rsquo;s what we call our &ldquo;Triad of Skills." Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.
 <br/>
 <br/>
 As we rapidly expand globally, we are redefining what a consulting firm can be.
 <br/>
 <br/>
 <strong>
  Economic, Technology, and Strategy Advisory (ETSA)
  <br/>
  <br/>
 </strong>
 Keystone&rsquo;s practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high-stakes business, legal, and technology challenges.
 <br/>
 <br/>
 <strong>
  What We Do
  <br/>
  <br/>
 </strong>
 ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high-stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients
 <br/>
 <br/>
 <strong>
  How We Operate
  <br/>
  <br/>
 </strong>
 Our tech-native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in-depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.
 <br/>
 <br/>
 <strong>
  Who We Serve
  <br/>
  <br/>
 </strong>
 Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.
 <br/>
 <br/>
 <strong>
  Our practice areas
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Antitrust &amp; Competition
  </li>
  <li>
   Financial Economics, Tax, and Securities (FETS)
  </li>
  <li>
   Intellectual Property (IP)
  </li>
  <li>
   Information Strategy, Risk and Regulation (ISRR)
  </li>
  <li>
   Healthcare and Life Sciences
  </li>
  <li>
   Technical Investigations
  </li>
  <li>
   Behavioral Insights
  </li>
  <li>
   Strategy Consulting
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Staff Data Scientist
  <br/>
  <br/>
 </strong>
 As a Staff Data Scientist, you will be a senior member of the ETSA Technical Investigations practice, leading the design and application of advanced analytics and machine learning to high-impact client engagements. You will combine technical depth with business insight, guiding both the development of models and the interpretation of their results within complex regulatory and economic contexts.
 <br/>
 <br/>
 <strong>
  Role Expectations
  <br/>
  <br/>
 </strong>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the design and implementation of analytical solutions, from data architecture to model deployment
  </li>
  <li>
   Apply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysis
  </li>
  <li>
   Build, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
  </li>
  <li>
   Collaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendations
  </li>
  <li>
   Serve as a technical advisor on engagements involving advanced data, AI, and digital transformation topics
  </li>
  <li>
   Mentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental design
  </li>
  <li>
   Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
  </li>
  <li>
   Engage in knowledge-building initiatives that strengthen Keystone&rsquo;s global AI and data science community
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced graduate degree (PhD or Master&rsquo;s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
  </li>
  <li>
   At least 6+ years of professional experience in data science, machine learning, or applied analytics roles
  </li>
  <li>
   Deep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domains
  </li>
  <li>
   Strong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)
  </li>
  <li>
   Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)
  </li>
  <li>
   Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
  </li>
  <li>
   Proven leadership in guiding diverse technical teams and driving innovation in data-driven problem solving
  </li>
  <li>
   A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Keystone AI
  <br/>
  <br/>
 </strong>
 Join a fast-growing, tech-enabled consulting firm that partners with the world&rsquo;s leading companies on their most critical challenges and biggest opportunities.
 <br/>
 <br/>
 <ul>
  <li>
   Work on frontier matters shaping the future of AI, data, and digital regulation
  </li>
  <li>
   Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton
  </li>
  <li>
   Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
  </li>
  <li>
   Thrive in a culture defined by collaboration, curiosity, and excellence - where your ideas have direct, tangible impact
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
 <br/>
 <br/>
 At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.
</div>


Staff Data Scientist

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  <em>
   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.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
  </li>
  <li>
   Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
  </li>
  <li>
   Drive exploratory analysis to understand the ecosystem, user behaviour, and identify new levers to help move metrics and build models of user behaviours for analysis and product enhancements.
  </li>
  <li>
   Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
  </li>
  <li>
   Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
  </li>
  <li>
   Implement scalable machine learning algorithms that will be used in production on big data.
  </li>
  <li>
   Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization.
  </li>
  <li>
   Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
  </li>
  <li>
   Help define and track the appropriate key metrics for specific projects.
  </li>
  <li>
   Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
  </li>
  <li>
   You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
  </li>
  <li>
   Build and deploy retrieval augmented generation systems and other applications of large language models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6 - 8 years of experience in data mining, predictive modelling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
  </li>
  <li>
   Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
  </li>
  <li>
   Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
  </li>
  <li>
   1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
  </li>
  <li>
   Strong problem-solving and coding skills.
  </li>
  <li>
   Solid knowledge of AB testing, classic ML, and DL
  </li>
  <li>
   Solid understanding of recommendations, ranking, and retrieval.
  </li>
  <li>
   Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
  </li>
  <li>
   Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
  </li>
  <li>
   Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.
  </li>
 </ul>
</div>


Senior Data Scientist II

The Arts Club Dubai

<div><div><p>The Arts Club Dubai is perfectly located in the heart of the DIFC, set over four floors and totaling 65,000 square feet, in the brand-new ICD Brookfield Place development designed by Foster + Partners.<br>
<br>
It is the first international outpost of the celebrated and historical private members&rsquo; club, established in 1863 in Mayfair, London. The Club&rsquo;s membership is a growing community of like-minded, diverse and dynamic people, all hailing from different cultures and sectors, from the region and further afield.<br>
<br>
A lifestyle for our members.<br>
<br>
The Club provides its members with a home away from home: a sanctuary for those seeking comfort, hospitality and elegance, with a level of quality, service and attention to detail that will leave them wanting for nothing.</p><div></div><div><p><b><br>
Role Purpose</b></p><p>
The Head of AI &amp; BI will lead The Arts Club Dubai&rsquo;s transformation into a data driven and intelligent organization. This role will design and execute a holistic AI and analytics strategy that elevates operational performance, optimizes financial systems, and redefines the member experience through technology.</p><p></p><p>
The successful candidate will integrate business operations, data systems, and emerging technologies ensuring that every aspect of the Club&rsquo;s operations (CRM, finance, membership, F&amp;B, events, and guest experience) runs efficiently, intelligently, and seamlessly.</p><p></p><p>
The position bridges strategic business planning and technical execution empowering TACD to deliver a digitally enabled, world-class member experience while maintaining operational excellence.</p><p></p><p><b>
Key Responsibilities</b></p><p></p><p><b>
Strategic Leadership</b></p><p></p><ul><li>
Develop and implement AI, Business Operations &amp; Technology strategy, aligning with the organization&rsquo;s growth and member experience keeping in mind the corporate and financial goals.</li><li>
Partner with the CFO, CEO, and senior leaders to identify business challenges that can be solved through AI driven insights and automation.</li><li>
Establish a data first culture, embedding intelligence and analytics into daily decision making across departments.</li><li>
Drive innovation initiatives from workflow redesign to adoption of intelligent systems and process reengineering</li></ul><p></p><p><b>
Data Infrastructure &amp; Systems Integration</b></p><p></p><ul><li>
Lead the modernization of the Club&rsquo;s data ecosystem, integrating CRM (Salesforce), ERP, HR, Symphony, Telephone etc and financial systems into a centralized data platform.</li><li>
Oversee the design, collection, storage, and visualization of high-quality data through robust architecture and governance frameworks.</li><li>
Implement real time dashboards and reporting systems that deliver actionable insights to leadership and operational teams.</li><li>
Evaluate and implement modern platforms (e.g., cloud ERP, POS, CRM, and member apps).</li><li>
Establish robust cybersecurity, data governance, and IT compliance frameworks.</li></ul><p></p><p><b>
AI, Automation &amp; Advanced Analytics</b></p><p></p><ul><li>
Develop and deploy machine learning and predictive models to forecast member engagement, revenue, and operational performance.</li><li>
Embed AI capabilities across key areas such as:</li><li><ul><li>
Member personalization and recommendation systems</li><li>
Demand and capacity forecasting</li><li>
Automated reporting and financial optimization</li><li>
Service efficiency and digital experience enhancement</li></ul></li><li>
Evaluate and implement cutting edge tools within Salesforce AI, Azure AI, or Google AI environments to enable intelligent workflows.</li><li>
Introduce innovation programs &mdash; pilot emerging tech such as IoT, predictive analytics, and digital twin models for member experience and facilities.</li></ul><p></p><p><b>
Marketing &amp; Communications</b></p><p></p><ul><li>
Define and implement an AI marketing strategy aligned with brand and membership growth goals.</li><li>
Integrate data and AI across all marketing touchpoints &mdash; from CRM and email automation to social media, content, and digital campaigns</li><li>
Build AI systems that personalize communication, offers, and content based on member profiles, preferences, and behaviour.</li><li>
Design and deploy recommendation engines for events, dining, and experiences.</li><li>
Enhance Salesforce Marketing Cloud and CRM intelligence layers using machine learning and NLP (natural language processing).</li><li>
Integrate AI chat and concierge tools to enhance member communications and digital engagement.</li><li>
Use AI to automate and optimize campaign management, including segmentation, timing, and channel mix.</li><li>
Implement language and image generation tools for marketing assets, event communications, and personalized messaging.</li><li>
Establish brand-safe generative AI guidelines for the marketing team.</li><li>
Analyse member sentiment, feedback, and social engagement using AI-powered listening tools</li></ul><p></p><p><b>
Business Insights &amp; Decision Support</b></p><p></p><ul><li>
Translate complex datasets into clear business insights and strategic recommendations.</li><li>
Lead the design and monitoring of KPIs for membership, finance, F&amp;B, team and event performance.</li><li>
Provide analytical leadership for performance tracking, strategic planning, and innovation initiatives.</li></ul><p></p><p><b>
Innovation &amp; Change Leadership</b></p><p></p><ul><li>
Act as a change catalyst for AI driven transformation across the organization.</li><li>
Foster data literacy and innovation culture through collaboration, coaching, and knowledge sharing.</li><li>
Stay ahead of emerging technologies and trends to maintain leadership in luxury hospitality intelligence.</li></ul><p></p><p><b>
Qualifications &amp; Experience</b></p><p></p><p><b>
Essential</b></p><p></p><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Business Analytics, Finance, or related field.</li><li>
10+ years of experience in business intelligence, data strategy, digital transformation, or AI implementation, ideally within hospitality, luxury, or membership-based organizations.</li><li>
Proven success in designing and leading enterprise-wide data or AI transformations.</li><li>
Advanced proficiency with BI and data visualization tools (Power BI, Tableau, Looker).</li><li>
Experience integrating Salesforce CRM and financial systems through API or middleware platforms.</li><li>
Strong technical understanding of cloud systems, enterprise architecture, and automation platforms</li><li>
Strong understanding of AI and machine learning platforms (Azure AI, Google AI, Einstein Analytics, BOLT as an AI Chat / Communication Framework).</li><li>
Exceptional communication and stakeholder management skills.</li></ul><p></p><p><b>
Desirable</b></p><p></p><ul><li>
Master&rsquo;s degree in AI, Data Analytics, or MBA.</li><li>
Demonstrated experience in CRM optimization and member experience automation.</li><li>
Deep knowledge of data engineering, predictive analytics, and process automation.</li><li>
Familiarity with cloud data warehousing (e.g., Snowflake, BigQuery) and API based integrations.</li><li>
Exposure to AI-driven operations, data analytics, or digital twin models.</li><li>
Track record of leading cross-functional transformation projects in multi-site or hospitality-based environments</li></ul><p></p><p><b>
Personal Attributes</b></p><p></p><ul><li>
Strategic thinker with a strong technical foundation and execution mindset.</li><li>
Data driven, curious, and passionate about leveraging AI for tangible business outcomes.</li><li>
Inspiring leader who fosters innovation and cross functional collaboration.</li><li>
High emotional intelligence and cultural awareness suited for luxury hospitality environments.</li><li>
Excellent communicator who can influence and drive change across diverse teams</li><li>
Passionate about excellence, innovation, and the hospitality.</li><li>
Thrives in dynamic, high-performance environments.</li></ul><p></p><p><b>
Why Join The Arts Club Dubai</b></p><p></p><ul><li>
Lead a transformative vision &mdash; this is a rare opportunity to define and direct the AI and analytics strategy for one of the world&rsquo;s most distinguished private members&rsquo; clubs.</li><li>
Be the architect of innovation &mdash; drive the next generation of operational excellence by seamlessly integrating technology, data, and intelligence into every stage of the member journey.</li><li>
Shape the future of intelligent hospitality &mdash; harness insight and innovation to elevate member satisfaction, financial performance, and service excellence, positioning The Arts Club Dubai as a global leader in luxury and technology-driven hospitality</li></ul></div></div>
INDHEADOFFICE</div>

Head of Technology, Data & Innovation (TDI)

Chalhoub Group

<div>
 <strong>
  INSPIRE | EXHILARATE | DELIGHT
  <br/>
  <br/>
 </strong>
 For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
 <br/>
 <br/>
 Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
 <br/>
 <br/>
 Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work&reg; certification in several markets.
 <br/>
 <br/>
 Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Senior Data Scientist
 </strong>
 to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.
 <br/>
 <br/>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
  </li>
  <li>
   Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
  </li>
  <li>
   Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
  </li>
  <li>
   Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
  </li>
  <li>
   Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
  </li>
  <li>
   Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
  </li>
  <li>
   Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
  </li>
  <li>
   Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
  </li>
  <li>
   Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
  </li>
  <li>
   Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
  </li>
  <li>
   Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
  </li>
  <li>
   Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7 years of experience in applied data science or machine learning.
  </li>
  <li>
   Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).
  </li>
  <li>
   Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.
  </li>
  <li>
   Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.
  </li>
  <li>
   Knowledge of model performance metrics, statistical validation, and A/B testing approaches.
  </li>
  <li>
   Familiarity with bias detection techniques and fairness frameworks.
  </li>
  <li>
   Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.
  </li>
  <li>
   Comfort working with structured and semi-structured data, including tabular and time-series formats.
  </li>
  <li>
   Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.
  </li>
  <li>
   Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.
  </li>
  <li>
   Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Can Offer You
  <br/>
  <br/>
 </strong>
 With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
 <br/>
 <br/>
 We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
 <br/>
 <br/>
 <strong>
  We Invite All Applicants to Apply
  <br/>
  <br/>
 </strong>
 It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
 <br/>
 <br/>
 We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.
</div>


Senior Data Scientist

Deem Finance

<div>
 <p>
  <strong>
   Key Performance Indicators
  </strong>
 </p>
 <p>
  <strong>
   Advanced Analytics &amp; AI Enablement
  </strong>
 </p>
 <ul>
  <li>
   Lead the development of
   <strong>
    predictive, prescriptive, and ML models
   </strong>
   for growth, risk, customer experience, and efficiency.
  </li>
  <li>
   Build reusable
   <strong>
    data products, dashboards, and analytical APIs
   </strong>
   for business self-service.
  </li>
  <li>
   Deploy AI/ML use cases across domains such as
   <strong>
    Cards, PL, ML, SME, Deposits, Digital Channels, Collections, and Marketing
   </strong>
   .
  </li>
  <li>
   Ensure measurable business impact (revenue uplift, cost reduction, risk mitigation).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Business Partnering &amp; Value Realisation
  </strong>
 </p>
 <ul>
  <li>
   Partner with senior business stakeholders to identify
   <strong>
    high-value data opportunities
   </strong>
   .
  </li>
  <li>
   Translate business problems into analytical solutions with
   <strong>
    clear ROI and success metrics
   </strong>
   .
  </li>
  <li>
   Challenge assumptions with data-driven insights and influence strategic decisions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Products &amp; Platform Adoption
  </strong>
 </p>
 <ul>
  <li>
   Promote scalable analytics using cloud, big data, and modern ML platforms.
  </li>
  <li>
   Improve analytics maturity across teams through enablement and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Strategy &amp; Digital Data Journey
  </strong>
 </p>
 <ul>
  <li>
   Define and execute the
   <strong>
    enterprise data &amp; analytics roadmap
   </strong>
   aligned with business strategy.
  </li>
  <li>
   Establish data as a
   <strong>
    single source of truth
   </strong>
   through governed, scalable, and reusable data assets.
  </li>
  <li>
   Drive adoption of advanced analytics, AI, and automation across business units.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead the
   <strong>
    design, development, and deployment
   </strong>
   of advanced analytics and AI solutions.
  </li>
  <li>
   Own the
   <strong>
    end-to-end analytics lifecycle
   </strong>
   : problem framing, data preparation, modelling, validation, deployment, and monitoring.
  </li>
  <li>
   Guide teams on
   <strong>
    feature engineering, model selection, performance tuning, and interpretability
   </strong>
   .
  </li>
  <li>
   Drive data storytelling and executive-level insights through compelling narratives and visuals.
  </li>
  <li>
   Mentor and develop data scientists and analysts; set technical and delivery standards.
  </li>
  <li>
   Collaborate with IT, Data Engineering, Risk, Finance, and Product teams to embed analytics into workflows.
  </li>
  <li>
   Prioritise initiatives using
   <strong>
    value vs effort
   </strong>
   and ensure timely execution.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Skills &amp; Competencies
  </strong>
 </p>
 <ul>
  <li>
   Strong hands-on expertise in
   <strong>
    Python/R / SQL
   </strong>
   and modern data science frameworks.
  </li>
  <li>
   Proven experience in
   <strong>
    machine learning, statistical modelling, and AI techniques
   </strong>
   .
  </li>
  <li>
   Strong understanding of
   <strong>
    data architecture, data pipelines, and cloud analytics platforms
   </strong>
   .
  </li>
  <li>
   Ability to convert complex analytical outputs into
   <strong>
    clear business recommendations
   </strong>
   .
  </li>
  <li>
   Excellent stakeholder management, communication, and presentation skills.
  </li>
  <li>
   Strategic mindset with execution focus.
  </li>
  <li>
   Ability to manage multiple initiatives in a fast-paced environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Educational &amp; Other Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in
   <strong>
    Data Science, Computer Science, Statistics, Engineering, or related field
   </strong>
   .
  </li>
  <li>
   <strong>
    7&ndash;10 years of experience
   </strong>
   in data science, advanced analytics, or AI roles, preferably within
   <strong>
    banking or financial services
   </strong>
   .
  </li>
  <li>
   Strong exposure to
   <strong>
    banking/NBFC domains
   </strong>
   (Cards, Loans, SME, Digital Channels, Risk, Marketing).
  </li>
  <li>
   Experience working with
   <strong>
    cloud platforms
   </strong>
   (AWS, Azure, GCP) and big-data ecosystems.
  </li>
  <li>
   Exposure to
   <strong>
    data
   </strong>
   &amp;
   <strong>
    risk models, and regulatory environments
   </strong>
   is a strong advantage.
  </li>
 </ul>
 <p>
 </p>
</div>


Digital Data Scientist

Dentsu

<div></div><div><div>Job Description:</div><div><div><div>
About the Role<br>
We&rsquo;re looking for a Head of Data &amp; Analytics Strategy to shape the agency&rsquo;s data vision &mdash; translating analytics into actionable growth strategies for clients. You&rsquo;ll lead the use of data as a creative and strategic asset across all marketing activities.</div></div><div></div><div><div>
Key Responsibilities</div></div><div><ul><li><div>
Lead the design and implementation of advanced analytics frameworks.</div></li></ul></div><div><ul><li><div>
Drive the integration of data strategy into media planning and performance measurement.</div></li></ul></div><div><ul><li><div>
Partner with client teams to identify business opportunities through data insights.</div></li></ul></div><div><ul><li><div>
Oversee dashboards, predictive models, and attribution frameworks.</div></li></ul></div><div><ul><li><div>
Collaborate with data engineering and tech teams to enable scalable solutions.</div></li></ul></div><div><ul><li><div>
Mentor analysts and strategists to elevate the agency&rsquo;s data literacy.</div></li></ul></div><div></div><div><div>
Requirements</div></div><div><ul><li><div>
12&ndash;15 years of experience in data strategy, analytics, or marketing science.</div></li></ul></div><div><ul><li><div>
Proven success translating data into strategic narratives and business outcomes.</div></li></ul></div><div><ul><li><div>
Strong understanding of media measurement, econometrics, and digital analytics tools.</div></li></ul></div><div><ul><li><div>
Experience leading analytics teams within agencies or consultancies.</div></li></ul></div><div><ul><li><div>
Excellent stakeholder management, visualization, and communication skills.</div></li></ul></div></div><div></div><div>
Location:</div>
Dubai<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

Data & Analytics Director

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