data scientist

RAKBANK

<div>
 
 At
 
 RAKBANK
 
 , we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance. Now, we&rsquo;re looking for a dynamic
 
 Data Scientist
 
 to join our team at Dubai Silicon Oasis, where you'll lead the way in Credit Risk Models development and ensuring internal and regulatory standards are met.
 
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 
 <ul>
 <li>
 Develop, implement, and monitor risk models for retail and wholesale lending portfolio.
 </li>
 <li>
 To support Risk Analytics Vice President in efficient delivery against requirements set forth by Management as well as external regulators.
 </li>
 </ul>
 
 
 
 Data management
 
 
 
 <ul>
 <li>
 Identify valuable data sources and automate data collection processes.
 </li>
 <li>
 Prepare the data to be used for modelling.
 </li>
 <li>
 Undertake preprocessing of structured and unstructured data.
 </li>
 <li>
 Analyze large amounts of information to discover trends and patterns.
 </li>
 <li>
 Present information using data visualization techniques.
 </li>
 </ul>
 
 
 
 Model development and management
 
 
 
 <ul>
 <li>
 Develop credit risk models for the wholesale and retail portfolios (e.g., credit decisioning, PD, LGD, EAD, IFRS9) ensuring modelling process meet internal and regulatory standards.
 </li>
 <li>
 Build business support models (collection, fraud analytics) and more broadly, predictive models for alternative modeling solution leveraging from statistical techniques using supervised and unsupervised machine learning algorithms.
 </li>
 <li>
 Utilize advanced analytical tools and ML models to build predictive models for early warning systems.
 </li>
 <li>
 Develop statistical models for AML (anti money laundering) purpose and conduct threshold tuning.
 </li>
 <li>
 Develop strategies to help portfolio grow by leveraging from risk scores with risk and return perspective.
 </li>
 </ul>
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 <ul>
 <li>
 Degree in Statistics, Mathematics, Economics, Banking, Engineering or other related areas
 </li>
 <li>
 At least 7 years hands on credit risk modelling experience
 </li>
 <li>
 At least 3+ years&rsquo; experience in team management
 </li>
 <li>
 Experience in statistical model development (including machine learning), using tools such as SAS, Python and R.
 </li>
 <li>
 Knowledge of risk modelling regulations such as Basel and IFRS9, MMSG regulations.
 </li>
 <li>
 Ability to generate insight from the data and make recommendations
 </li>
 </ul>
 
 
 
 
 
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Pay for performance culture (Competitive and performance-linked compensation)
 </li>
 <li>
 Provision of medical care plan for your family and you
 </li>
 <li>
 Comprehensive Life insurance plan
 </li>
 <li>
 Diverse workforce and inclusive culture
 </li>
 <li>
 Career development and growth opportunities by design
 </li>
 <li>
 Work with the best minds in the field
 </li>
 <li>
 Get opportunities to bring your whole-self to the organization and perform to your best
 </li>
 </ul>
 
 
 
 Be part of RAKBANK's future!
 
 
 Step into a role where your leadership, and strategic insights will directly shape the future of the bank. If you're ready to elevate your career with us,
 
 apply now!
 
 
 
 
 
 
 📍
 
 Location:
 
 Dubai Silicon Oasis, Dubai, UAE
 
</div>

Data Scientist

Salt

<div>
 
 
 Data Scientist &ndash; Healthcare
 
 
 
 
 
 
 
 The Opportunity
 
 
 
 My client is hiring a commercially minded
 
 Data Scientist
 
 to drive insight-led decision-making across a global healthcare events portfolio. Reporting to the Marketing Director, this newly created role will play a key role in unlocking growth across audiences, exhibitors, and revenue.
 
 
 You&rsquo;ll turn complex data into clear, actionable insights that inform marketing, commercial, and product strategy &mdash; helping the business move faster and smarter.
 
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 5+ years&rsquo; experience as a Data Scientist or Senior Analyst (marketing, SaaS, or events experience preferred)
 </li>
 <li>
 Strong expertise in data modelling, predictive analytics, segmentation, and growth analytics
 </li>
 <li>
 Proficient in
 
 Python, SQL, Power BI
 
 (or similar tools)
 </li>
 <li>
 Experience working with
 
 CRM and marketing automation data
 
 </li>
 <li>
 Commercially focused, with the ability to link insights to revenue and growth
 </li>
 <li>
 Confident communicator who can influence non-technical stakeholders
 </li>
 <li>
 Curious, proactive, and driven by impact
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Translate marketing, audience, and exhibitor data into actionable strategic insights
 </li>
 <li>
 Identify growth opportunities through audience behaviour and segmentation analysis
 </li>
 <li>
 Build and measure growth loops across engagement, retention, and referrals
 </li>
 <li>
 Analyse campaign performance, attribution, and ROI to optimise spend
 </li>
 <li>
 Develop predictive models for attendance, leads, and exhibitor demand
 </li>
 <li>
 Design dashboards and reporting that support real-time decision-making
 </li>
 <li>
 Partner cross-functionally to embed insights into everyday business decisions
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ***
 
 
 
</div>

Data Scientist- Healthcare

Keystone AI

<div>
 
 About Keystone AI
 
 
 
 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.
 
 
 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.
 
 
 As we rapidly expand globally, we are redefining what a consulting firm can be.
 
 
 
 Economic, Technology, and Strategy Advisory (ETSA)
 
 
 
 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.
 
 
 
 What We Do
 
 
 
 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
 
 
 
 How We Operate
 
 
 
 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.
 
 
 
 Who We Serve
 
 
 
 Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.
 
 
 
 Our practice areas
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Staff Data Scientist
 
 
 
 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.
 
 
 
 Role Expectations
 
 
 
 
 You Will
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Why Keystone AI
 
 
 
 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.
 
 
 <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
 
 
 </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.
 
 
 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

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>

Al-Futtaim

<div>Job Requisition ID: 174624
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.
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 

Overview Of The Role: 
<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> 
 
What You Will Do: 

Advance Analytics &amp; Data Science
<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> 


Applied GenAI &amp; LLM Enablement
<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> 


Enterprise Productionization &amp; MLOps/ LLMOps
<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> 


Performance Measurement &amp; Continuous Improvement
<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> 
 
Required Skills To Be Successful: 
<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> 


About the Team

This role reports to Data Science Lead 

What Equips You For The Role: 
<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> 
About Al-Futtaim Group Real Estate 
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. 
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. 
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.
About Al-Futtaim Malls 
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.
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.
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.
For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/
About Al-Futtaim Engineering &amp; Technologies 
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions. 
 
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. 
 
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. 
 
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</div>

1inch

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 
 
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 
 
 
 Location: We hire with a focus on Dubai and Europe. For this role, we prefer candidates who are either based in Dubai or working remotely within +/- 4 hours GST time.
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help strengthen our growing Data &amp; Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They&rsquo;ll also support product, business, and strategic decision-making through advanced analytics.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Actively shaping how company uses data for strategic decisions
 </li>
 <li>
 Enhance data infrastructure and tooling for improved efficiency
 </li>
 <li>
 Support critical business units with ad-hoc analytics and insights
 </li>
 <li>
 Conduct deep-dive research and analysis to uncover actionable findings
 </li>
 <li>
 Improve data collection and analytics processes across teams
 </li>
 <li>
 Ensure dashboards provide clarity, usability, and real-time visibility
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience in data science, data analytics, or related field
 </li>
 <li>
 Proven track record of implementing data infrastructure improvements and optimisations
 </li>
 <li>
 Prior experience working with blockchain tools or DeFi data strongly preferred
 </li>
 <li>
 Strong proficiency in SQL, Python, and data visualisation tools
 </li>
 <li>
 Experience with data warehousing, ETL processes, and data pipeline optimisation
 </li>
 <li>
 Understanding of statistical concepts and practical experience applying them
 </li>
 <li>
 Ability to translate complex findings into clear, actionable insights
 </li>
 <li>
 Collaborative mindset with excellent communication skills to work effectively across teams
 
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Crypto/Web3 analytical stack (Dune, Nodes, Flipside)
 </li>
 <li>
 Low level blockchain data understanding (traces, events)
 </li>
 <li>
 Experience in uncovering business-driving data insights
 
 
 
 
 </li>
 </ul>
 
 Why Work For Us?
 
 
 
 
 <ul>
 <li>
 Join a young, creative team in a fast-paced and supportive environment
 </li>
 <li>
 We&rsquo;re open to new ideas &mdash; if you&rsquo;ve got a vision, pitch it and make it happen
 </li>
 <li>
 Enjoy competitive pay that matches your skills and experience
 </li>
 <li>
 Be part of a company that&rsquo;s shaping the future of DeFi
 </li>
 <li>
 Take time when you need it &mdash; we offer unlimited vacation days
 </li>
 <li>
 Get fully compensated for your work gear &mdash; we&rsquo;ll set you up for success
 </li>
 <li>
 Travel with us! We host an annual team retreat at a top international location
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Data Scientist

Chalhoub Group

<div>INSPIRE | EXHILARATE | DELIGHT
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.
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.
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 certification in several markets.
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. 
What You'll Be Doing
We are looking for a Senior Data Scientist 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.
Key Accountabilities
1. Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
2. Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
3. Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
4. Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
5. Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
6. Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
7. Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
8. Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
9. Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
10. Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
11. Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
12. Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
What You&rsquo;ll Need To Succeed
<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.</li></ul>
What We Can Offer You
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.
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.
We Invite All Applicants to Apply
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.
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>

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