data analyst

data scientist

data engineer

business data analyst

senior data engineer

data science manager

Whiteshield

<div><p>Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.</p><p></p><p><b>
Role Overview</b></p><p>
As a <b>Data Science Manager</b>, you will lead analytical projects that integrate <b>AI, machine learning, geospatial analysis, and economic modelling</b> to drive evidence-based decision-making. You&rsquo;ll manage end-to-end data workflows &mdash; from ideation to delivery &mdash; and work with a multidisciplinary team of data scientists, economists, and policy experts to build tools that have real impact.</p><p></p><p><b>
Key Responsibilities</b></p><ul>
<li>
Lead data-driven projects across public policy and economic domains.</li>
<li>Design, automate, and optimize <b>data pipelines</b> and analytical workflows.</li>
<li>Apply <b>AI, ML, and geospatial techniques</b> to extract insights from satellite imagery, trade, and macroeconomic data.</li>
<li>Develop and maintain <b>interactive dashboards, ranking systems, and predictive models</b>.</li>
<li>Translate technical results into <b>clear, actionable policy recommendations</b>.</li>
<li>Mentor junior data scientists and oversee code quality, documentation, and best practices.</li>
</ul><p><b>
Requirements</b></p><p>
Masters degree in Computer Science or Data Science</p><p>
Proven experience leading data projects or small teams</p><p>
5+ years experience with Python</p><p>
5+ years experience with SQL</p><p>
5+ years experience with APIs</p><p>
Experience with machine learning or predictive modelling</p><p>
Experience building data pipelines or ETL processes</p><p>
Experience with data visualization (Power BI, Tableau, or similar)</p><p>
Excellent English communication skills</p><p></p><p><b>
Nice-to-haves:</b></p><p>
Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)</p><p>
Experience with economic or policy-related datasets</p><p>
Experience working in consulting or public sector projects</p><p>
Knowledge of cloud platforms (AWS, GCP, or Azure)</p><p>
Familiarity with TensorFlow or PyTorch</p><p>
Master&rsquo;s degree in Data Science, Economics, or related field</p><p><b>
Benefits</b></p><ul><li>
Real influence and access &ndash; Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.</li><li>
Room to innovate &ndash; If you see a better way, try it. We encourage new methods and actively pilot new technologies.</li><li>
Cutting-edge tools &ndash; Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.</li><li>
Structured growth &ndash; Learn from senior experts through hands-on mentoring and project-based skill transfer.</li></ul></div>

Data Science Manager - AI Economics Unit (UAE-based)

Road and Transport, RTA Dubai

<p><b>What You'll Do</b></p> <ul> <li>Manage and implement AI and data science strategies and operational plans in line with RTA and UAE AI objectives.</li> <li>Facilitate integration of data analytics into corporate decision-making by developing roadmaps and prioritizing initiatives.</li> <li>Monitor execution of AI projects and ensure adherence to governance, financial, and operational best practices.</li> <li>Represent the department at national meetings, providing strategic and technical insights on AI and data science.</li> <li>Oversee development of feasibility studies, scenario modeling, and ROI analysis for AI initiatives.</li> <li>Monitor and improve data quality and governance to support effective AI and machine learning solutions.</li> <li>Supervise periodic reviews of international studies and update governance frameworks as required.</li> <li>Ensure preparation of comprehensive reports and performance indicators to track implementation progress.</li> <li>Collaborate with internal departments and external partners to align AI initiatives with institutional goals.</li> </ul>

AI and Data Science Strategy Manager

NeoStats

<div><div><div><div><div><b>Job specification: </b>As a Senior Analytics Manager you will be at the forefront of driving data-driven decision-making across the organization.
</div></div></div></div><div><div><h5 class="jobSectionHeader"><b>About the Job</b></h5>
<p>
NeoStats is a new age, Data &amp; Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data &amp; Analytics Services, we are headquartered out of UAE, with bases in India &amp; UK. Comprising industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.</p>
<p>
We believe in driving innovation through cutting-edge technologies and insights. Our diverse team of data scientists, engineers, and analysts collaborate closely to deliver high-impact solutions to our clients&rsquo; most complex challenges. As a Senior Analytics Manager, you will be at the forefront of driving data-driven decision-making across the organization and building advanced machine learning models that power our transformative solutions.</p><br>
<p></p>
<h5 class="jobSectionHeader"><b>
Responsibilities</b></h5>
<ul><li>Work with stakeholders throughout the organization to understand challenges, identify opportunities to make data-driven banking solutions.</li>
<li>Perform in-depth analysis of large-scale structured and unstructured datasets to identify patterns, trends, and correlations.</li>
<li>Drive business decision-making and optimize key performance indicators.</li>
<li>Conduct exploratory data analysis and hypothesis testing to gain deep insights into various analysis areas like customer behavior, market dynamics, operational efficiency, etc.</li>
<li>Design and develop advanced machine learning models, algorithms, and statistical methodologies to increase and optimize customer experiences, revenue generation using cross/up-sell products, and other business outcomes.</li>
<li>Analyze and optimize Digital Journeys and provide insights.</li>
<li>Build scalable and efficient machine learning pipelines to preprocess, transform, and analyze data for model development.</li>
<li>Deploy machine learning models into production in collaboration with relative Engineers.</li>
<li>Conduct research and experimentation to enhance existing models and drive innovation within the organization.</li>
<li>Fostering a collaborative and knowledge-sharing culture within the team.</li>
<li>Collaborate closely with cross-functional teams and business stakeholders, to understand their requirements.</li>
</ul><div></div><h5 class="jobSectionHeader"><b>Candidate Profile</b></h5>
<ul><li>10+ years of Banking experience in a data science role, with a focus on building and deploying machine learning models and algorithms.</li>
<li>Bachelor&rsquo;s or master&rsquo;s degree in one of Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math.</li>
<li>Proficiency in SQL and Python; familiarity with SAS, Scala, or Spark is a plus.</li>
<li>Strong understanding of statistical concepts and methodologies and demonstrated experience in applying machine learning techniques.</li>
<li>Excellent problem-solving skills.</li>
<li>Experience with any major Cloud provider (e.g., Azure, GCP, AWS, etc.) is a plus.</li>
<li>Excellent communication &amp; collaboration skills, and fluency in English.</li>
</ul><div></div><h5 class="jobSectionHeader"><b>What we offer:</b></h5>
<ul><li>Competitive Salary and Benefits</li>
<li>Opportunity to be part of a fast-paced and growing startup. Grow your career with the company</li>
<li>Ownership &ndash; You will own your initiative and be given specific responsibilities</li>
<li>Continuous coaching &amp; mentoring &ndash; You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.</li>
<li>Dynamic and respectful work environment &ndash; we truly value you</li>
</ul><div><h5 class="jobSectionHeader"><b>Location &ndash; Dubai (UAE)</b></h5></div></div></div></div>

Senior Analytics Manager

EMIRATES GLOBAL ALUMINIUM (EGA)

<p>KEY ACCOUNTABILITIES:</p><ul><li>Effectively communicate the analytics approach and how it will meet and address objectives to business partners</li><li>Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems</li><li>Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers</li><li>Expert in Developing data science capability and can advocate the importance of continuous learning to the data science team. knows how to develop data science capability across the wider organisation and in industry. Sets as a role model of best practice through demonstration of his own self-directed learning. You set the data science curriculum across the organisation.</li><li>Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products</li><li>Ensure consistent and high quality data science standards and tools are deployed and developed within the organization</li><li>Engineer features by using business acumen to find new ways to combine disparate internal and external data sources</li><li>Share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards</li><li>Collaborate, coach, and learn with a growing team of experienced Data Scientists</li><li>provides leadership and direction across a programme of multidisciplinary data science projects, managing resources to ensure delivery.</li><li>Recognised as a strategic authority with technical expertise in cutting-edge techniques, defining vision across the organisation</li><li>Communicates with senior stakeholders and convince them of the strategic value of applying data science</li><li>Stay connected with external sources of ideas through conferences and community engagements</li></ul><p>AUTHORITY/ DECISION MAKING:</p><ul><li>Thinking within broadly defined policies, standards and objectives. The determination of “what needs to be done” in applying polices is largely left up to the incumbent who must establish the plan, determine the priorities and prescribe the processes needed to achieve the objectives</li><li>Subject to general direction and broadly defined functional policy objectives. Actions which will impact other functional or operating areas usually require approval before they may be implemented.</li></ul>

Principal Data Scientist

Al-Futtaim

<div><p><b>Job Requisition ID: </b>173726</p><br>
<p></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 A&rdquo;rab 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 organisation 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></p><p><br>
<b>
Overview Of The Role:</b></p><br>
<ul>
<li>The Senior Manager Data Science - Financial Services is a pivotal role within the Financial Services Group, tasked with leading enterprise AI and data science initiatives. The primary aim is to optimize financial performance and enhance risk management through sophisticated analytics and machine learning techniques. The role oversees AI and data science efforts across Captive Finance, Cards &amp; Payments, and Emirates Investment Bank divisions, driving impactful business insights and innovation.</li></ul><br>
<p><br>
<b>What You Will Do:</b></p><p><br>
Predictive Modeling</p><br>
<p></p>
<ul>
<li>Implement various predictive models, including residual value forecasting, credit risk scoring, and customer value proposition.</li>
<li>Optimize asset allocation and fraud detection models.</li>
<li>Develop and refine next best offer (NBO) strategies using advanced analytics.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Financial Insights and KPI Standardization</b></h4><br>
<p></p>
<ul>
<li>Standardize financial KPI metrics and risk dashboards using statistical process control.</li>
<li>Generate financial insights through time series analysis, portfolio optimization, and risk modeling.</li>
<li>Utilize advanced visualization techniques to convey key data insights.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Collaboration and AI Solutions Design</b></h4><br>
<p></p>
<ul>
<li>Collaborate with finance and risk teams to identify data-driven improvement opportunities.</li>
<li>Design and implement AI solutions to enhance AI chatbots and automation flows.</li>
<li>Leverage expertise in AI agents and LLM-driven products to build scalable systems.</li></ul><p><br>
<br>
<b>Required Skills To Be Successful:</b></p><br>
<ul>
<li>Expertise in Python, SQL, Databricks, and data visualization tools like Matplotlib and Plotly.</li>
<li>Proficiency in financial modeling and risk management techniques, including IFRS 9/CECL, stress testing, and capital analytics.</li>
<li>Strong knowledge of machine learning techniques, including NLP, transformers, and model explainability.</li>
<li>Proven leadership and communication skills, capable of managing teams and delivering complex projects.</li></ul><br>
<p><br>
<b>What Qualifies You For The Role:</b></p><br>
<ul>
<li>Bachelor's, Master's, or PhD in Statistics, Computer Science, Financial Engineering, or a related field.</li>
<li>Over 7 years of experience in financial analytics, data science, and machine learning.</li>
<li>Hands-on expertise in advanced statistical methods, financial modeling, and machine learning techniques including NLP and computer vision.</li>
<li>Proficient in Python, SQL, Databricks, and ML libraries such as TensorFlow and PyTorch. Additional experience with MLOps, Git, and data visualization tools</li></ul><p></p><p><br>
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.</p><br>
<p></p>
<p>Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate <b>why</b> this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.</p><br>
<p></p>
<p>As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</p></div><p></p>

Senior Manager Data Science

Corporate Offices

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
<b>
About Kempinski:</b><br>
At Kempinski, we don't just offer stays; we curate moments. As a hospitality organization, anchored in a legacy of elegance and a pioneering spirit, we have grown into a collection of iconic hotels and resorts around the world, each a landmark in its own right. From grand palaces steeped in history to contemporary masterpieces of design, Kempinski is where impeccable service meets authentic local experiences.</div><div>
<br>
We empower our people to be artisans of hospitality, fostering an environment where passion is nurtured, individuality is celebrated, and every detail is thoughtfully considered. Joining Kempinski means becoming part of a family that is dedicated to creating memories that last a lifetime for our guests, and a fulfilling and enriching career for our team.<br>
</div><div>If you are driven by excellence, inspired by the art of hospitality, and seek to contribute to a legacy of luxury, we invite you to explore the exceptional opportunities that await you at Kempinski Hotels. Come, be a part of our story.</div><br>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><br>
Data Strategy &amp; Infrastructure</li></ul>
o Collaborate with IT teams to enhance data pipelines, governance, and infrastructure for advanced analytics tools, initially focused on revenue management.<br>
o Design and oversee the development of Revenue Management Tools and data infrastructure, overseeing multiple providers.<br>
o Define and enforce data standards, quality measures and reporting consistency across commercial organization, including the identification of new data streams that would augment the quality of algorithms and modelling.<br>
o Ensure the quality, integrity, and accessibility of key data sources relevant to all Commercial organization, supporting the team in data availability.<br>
o Champion a data-driven culture across all business units, working closely with cross-functional teams (strategy, finance, operations, digital) to align analytics with strategic objectives.<br>
o Serve as an internal thought leader on emerging trends, tools and applications of data science in the travel and leisure sector.<br>
o Build a high-performing data science team (year 2 onwards)<br>
<br>
<ul><li>Revenue Management Strategy</li></ul>
o Partner with commercial teams to develop data-driven tools for forecasting, pricing, product mix, inventory and channel optimization.<br>
o Support dynamic pricing and demand management initiatives through data automation and real-time analytics.<br>
o Develop algorithms to enhance channel mix, distribution strategy, and profitability. o Build recommendation engines for upselling, cross-selling, and dynamic packaging.<br>
o Scale up the tools across the organization.<br>
o Contribute to widespread adoption of implemented tools by ensuring proper understanding of functionality and business logics by end users, capturing feedback and enhancement suggestions from user community that can be prioritized and packaged in future releases.<h3 class="jobSectionHeader"><b><br>
Skills, Knowledge and Expertise</b></h3><ul><li><b><br>
Education and Functional Competency</b></li></ul><div>
o 3-5 years of experience in data science, advanced analytics, or quantitative consulting o Strong expertise in big data-platforms, data analytics and engineering, predictive modelling.<br>
o Track record of driving measurable commercial and operational impact through data science.<br>
o Proven track record in revenue management or demand forecasting is a strong plus.<br>
o Bachelor&rsquo;s or master&rsquo;s degree in Data Science, Computer Science, Statistics, Economics, or a related quantitative discipline</div><div>
</div><ul><li><b>
Key Competencies and Personality</b></li></ul><div>
o Strong analytical and quantitative reasoning capabilities.</div><div>
o Proficiency in building and deploying analytical models, using modern data tools and programming techniques.</div><div>
o Ability to effectively communicate, explain and educate on complex models across different business units and management layers.</div><div>
o Ability to work with large and complex datasets to derive actionable insights.</div><div>
o Familiarity with contemporary data science methods and approaches to automation, modelling, and visualization.<br>
o Programming: Python, SQL o Cloud / Data Engineering: AWS (S3), Azure, Databricks o Visualization / BI: Power BI, Tableau</div><div></div><h3 class="jobSectionHeader"><b><br>
About Corporate Offices</b></h3><div>
Founded in Germany in 1897, Kempinski Hotels has long reflected the finest traditions of European hospitality. Today, as ever, Kempinski is synonymous with distinctive luxury.<br>
<br>
Located in many of the world's most well-known cities and resorts, the Kempinski collection includes hotels in a grand manner, pace-setting modern establishments and older hotels of individual charm. All blend gracefully into their surroundings and offer luxurious accommodation, superb cuisine and unrivalled facilities - complemented by impeccable service.<br>
<br>
For leisure and business guests alike, the name Kempinski has long been synonymous with style, mobility and efficiency. Put simply, they are the first choice for the discerning individual.<br>
<br>
In addition to operating many of the finest city hotels in the world, Kempinski is a name that can now be found in many exciting resort locations, each combining local flair and ambience with the international standards of service and luxury that Kempinski guests have come to expect.</div></div>

Data Scientist Senior Manager

<br>Location: UAE<br>Location: Dubai<br>Industry: I T and Services<br>Function: Information Technology<br>Gender: Any<br>Candidate Nationality: UAE Only<br>Job Type: Full-time<br> <br>What You ll Do<br> <br>* Lead AI and data science project roadmaps, ensuring delivery within timelines and alignment with corporate goals.<br>* Manage the secure and stable operation of AI platforms, ensuring compliance with RTA s information security policies.<br>* Oversee licensing, access management, and integration of AI applications with infrastructure systems.<br>* Use machine learning and data science to extract insights from big data, supporting decision-making.<br>* Evaluate and implement AI/big data use cases, ensuring scalability, performance, and impact.<br>* Prepare periodic progress, risk, and operational performance reports with recommendations.<br>* Supervise UAT and operational testing to meet security and quality requirements.<br>* Manage service provider contracts and coordinate with external technical partners.<br>* Monitor system performance, SLAs, and operational continuity of smart platforms.<br>* Train and empower internal teams in AI tools, dashboards, and applications.<br>* Analyze user feedback and incorporate improvements into AI operations.<br>* Recommend partnerships and collaborations with AI vendors and solution providers.<br>* Ensure strict adherence to digital safety, incident reporting, and governance practices.<br> <br>Ideal Profile<br> <br>* Master s or Bachelor s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.<br>* At least 11 years of relevant experience in AI operations, data platforms, or technical project management.<br>* Proven expertise in machine learning, big data analytics, and enterprise AI deployment.<br>* Strong understanding of AI governance, security compliance, and operational frameworks.<br>* Excellent leadership, problem-solving, and team empowerment skills.<br>* Strong communication and stakeholder management abilities.<br><br>

AI Operations Manager

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