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Core42

<div>
 
 Data Scientist, Core42, Abu Dhabi &ndash; UAE
 
 
 
 
 About Us
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning ourselves at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 The opportunity
 
 
 
 As a Data Scientist at Core42, you will work at the forefront of generative AI, cloud technologies, and large-scale digital transformation. You will design advanced algorithms, build enterprise-scale models, and deploy solutions across sovereign cloud and HPC environments. The role requires close collaboration with cybersecurity, cloud engineering, and executive stakeholders to develop innovative, secure, and scalable AI solutions that empower public sector and enterprise clients across the region.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 ead the design and implementation of advanced machine learning and generative AI models to solve complex, high-impact business and national-scale challenges.
 </li>
 <li>
 Translate analytical insights into actionable recommendations that drive enterprise and public sector digital transformation.
 </li>
 <li>
 Oversee and mentor a team of data scientists, cultivating a culture of innovation, continuous learning, and technical excellence.
 </li>
 <li>
 Collaborate closely with cross-functional teams&mdash;including cybersecurity, cloud engineering, and product&mdash;to integrate multi-disciplinary solutions.
 </li>
 <li>
 Pioneer new generative AI methodologies and help set benchmarks for national-level solution deployment.
 </li>
 <li>
 Advocate for data-driven decision making by establishing best practices in data acquisition, management, processing, and analysis.
 </li>
 <li>
 Ensure the security, privacy, and compliance of all data systems in alignment with industry-leading cybersecurity standards.
 </li>
 <li>
 Identify and evaluate emerging technologies in AI, cloud computing, and big data, integrating relevant advancements into Core42&rsquo;s service offerings.
 </li>
 <li>
 Communicate complex data concepts, insights, and solution value clearly to technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Required skills / qualifications
 </li>
 <li>
 Certifications in data science, AI, or cloud platforms (AWS, Azure, GCP, etc.).
 </li>
 <li>
 Minimum 10 years of general technological experience.
 </li>
 <li>
 At least 5 years of specific experience working as a data scientist within cloud environments.
 </li>
 <li>
 Strong proficiency with big data tools, analytics suites, and modern machine learning frameworks.
 </li>
 <li>
 Mastery of data science, analytics, and advanced modeling techniques.
 </li>
 <li>
 Background in Computer Science, Data Science, Statistics, or related fields; Master&rsquo;s or PhD is a plus.
 </li>
 <li>
 Experience deploying AI/ML workloads in cloud or HPC environments.
 </li>
 <li>
 Solid understanding of cybersecurity best practices and secure data handling principles.
 </li>
 <li>
 Proven leadership skills, with experience managing or mentoring technical teams.
 </li>
 <li>
 Preferred skills / qualifications
 </li>
 <li>
 Experience building and deploying generative AI solutions at scale.
 </li>
 <li>
 Strong strategic planning and execution capabilities within complex technical environments.
 </li>
 <li>
 Ability to coordinate with cross-functional teams to deliver integrated AI-cloud solutions.
 </li>
 <li>
 Excellent communication skills, with the ability to simplify complex analytical concepts for diverse audiences.
 </li>
 <li>
 Passion for innovation, curiosity, and a bias for action &mdash; aligned with Core42&rsquo;s mission to conquer new frontiers in AI.
 </li>
 </ul>
</div>

Data Scientist

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for a Data Scientist to apply advanced analytical techniques to vast industrial datasets. You will build predictive models that drive efficiency, safety, and profitability across the organization's operations.Responsibilities<ul><li>Conduct exploratory data analysis (EDA) on large, complex datasets to identify trends and patterns.</li><li>Develop, train, and validate predictive models and machine learning algorithms to solve specific business problems.</li><li>Collaborate with domain experts (e.g., engineers, geologists) to understand data context and feature engineering requirements.</li><li>Apply statistical methods to test hypotheses and quantify uncertainty in model predictions.</li><li>Visualize and communicate findings to stakeholders, translating technical results into actionable business insights.</li><li>Continuously research and experiment with new algorithms and techniques to improve model performance.</li><li>Clean and preprocess data to ensure high-quality inputs for modeling.</li></ul>Requirements<ul><li>Experience: 2&ndash;8 Years .</li><li>Strong background in statistics, mathematics, or a related quantitative field.</li><li>Proficiency in Python or R for data analysis and modeling.</li><li>Experience with a wide range of ML techniques (Regression, Classification, Clustering, Time-series forecasting).</li><li>Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).</li><li>Strong problem-solving skills and the ability to work with unstructured data.</li></ul>Bonus<ul><li>Experience with geospatial data analysis.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED15,000.00 per month

the ENTERTAINER

<div>
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 
 
 The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that "experience is everything," and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.&nbsp;
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization.
 
 
 
 
 
 
 
 
 
 As a Data Scientist you will
 
 
 
 
 
 
 
 
 Strategic Impact &amp; Business Influence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Define and execute a holistic data science strategy aligned with B2C growth goals.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Product &amp; Business Intelligence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.&nbsp;
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Analytics Engineering &amp; Infrastructure
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Lead development of dashboards and self-serve analytics tools for key stakeholders.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in designing experiments (A/B testing) and statistical inference techniques.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with modern data visualization tools like Tableau, Power BI.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Core Competencies
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and storytelling skills to influence executive stakeholders.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Track record of delivering high-impact insights and building analytics capabilities from scratch.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong mentoring, coaching, and cross-functional collaboration abilities.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Competitive salary and benefits package.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Opportunity to work with an energetic and innovative company.
 
 
 
 
 </li>
 <li>
 
 
 
 
 A chance to contribute to the success of a well-known UAE brand.
 
 
 
 
 </li>
 </ul>
</div>

The Entertainer FZ LLC

<div>About Us 
 
The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that &quot;experience is everything,&quot; and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees. 
 
About the Role 
 
We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization. 
 
As a Data Scientist you will 
 
Strategic Impact &amp; Business Influence<ul><li>
Define and execute a holistic data science strategy aligned with B2C growth goals.</li><li>
Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.</li><li>
Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.</li><li>
Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.</li><li>
Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
</li></ul> 
Product &amp; Business Intelligence<ul><li>
Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.</li><li>
Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.</li><li>
Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.</li><li>
Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.</li><li>
Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.</li><li>
Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.</li><li>
Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.
</li></ul> 
Analytics Engineering &amp; Infrastructure<ul><li>
Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.</li><li>
Lead development of dashboards and self-serve analytics tools for key stakeholders.</li></ul> 

What we&rsquo;re looking for<ul><li>
3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.</li><li>
Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.</li><li>
Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.</li><li>
Proficiency in designing experiments (A/B testing) and statistical inference techniques.</li></ul> 

Preferred:<ul><li>
Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.</li><li>
Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).</li><li>
Familiarity with modern data visualization tools like Tableau, Power BI.</li></ul> 

Core Competencies<ul><li>
Strategic thinker with strong business acumen and the ability to translate data into commercial impact.</li><li>
Excellent communication and storytelling skills to influence executive stakeholders.</li><li>
Track record of delivering high-impact insights and building analytics capabilities from scratch.</li><li>
Strong mentoring, coaching, and cross-functional collaboration abilities.</li></ul> 

What We Offer<ul><li>
Competitive salary and benefits package.</li><li>
Opportunity to work with an energetic and innovative company.</li><li>
A chance to contribute to the success of a well-known UAE brand.</li></ul>
tfBxYLuv2F</div>

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
In this role, you will:
<ul><li>Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
</li><li>Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
</li><li>Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
</li><li>Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
</li><li>Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
</li><li>Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
</li></ul>Knowledge &amp; Skills:
<ul><li>2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
</li><li>Hands-on experience in Data Science ecosystem.
</li><li>Hands-on experience in Gen AI, LLMs and Agentic AI
</li><li>Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li><li>Hands-on experience with SQL, R, Python.
</li><li>Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li><li>Hands-on experience building libraries and packages to be re-used by others.
</li><li>Hands-on experience building DS Solutions for production usage.
</li><li>Team player with a problem solving attitude.
</li><li>Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Emirates

<div>
 
 Job Purpose
 
 
 
 At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
 
 
 The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
 </li>
 <li>
 Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
 </li>
 <li>
 Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
 </li>
 <li>
 Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
 </li>
 <li>
 Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
 </li>
 <li>
 Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
 </li>
 <li>
 Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
 
 
 </li>
 </ul>
 Qualification
 
 
 
 To be considered for this role, you must meet the below requirements:
 
 
 
 <ul>
 <li>
 Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li>
 <li>
 Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
 </li>
 <li>
 Hands-on experience in Data Science ecosystem.
 </li>
 <li>
 Hands-on experience in Gen AI, LLMs and Agentic AI
 </li>
 <li>
 Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
 </li>
 <li>
 Hands-on experience with SQL, R, Python.
 </li>
 <li>
 Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
 </li>
 <li>
 Hands-on experience building libraries and packages to be re-used by others.
 </li>
 <li>
 Hands-on experience building DS Solutions for production usage.
 </li>
 <li>
 Team player with a problem solving attitude.
 </li>
 <li>
 Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
 </li>
 <li>
 Able to challenge and review the quality and value generated from analytical output.
 
 
 </li>
 </ul>
 At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
 
 
 Salary &amp; benefits
 
 
 Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
</div>

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Explore 2772+ Data scientist in United Arab Emirates this December. Find roles across top companies and apply now to boost your career.

2772 data scientist jobs IN United Arab Emirates

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