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data analysis , digital integration specialist (arabic speaker) Jobs in Dubai

data analysis , digital integration specialist (arabic speaker)

data analyst

data scientist

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Data Scientist (Fintech) &ndash; Dubai (Onsite)
 
 
 
 
 
 
 I&rsquo;m currently supporting a fast-growing
 
 fintech client in Dubai
 
 who is looking to hire a
 
 Data Scientist
 
 to join their team onsite. This is an exciting opportunity to work on high-impact projects across
 
 trading, risk, and product innovation
 
 .
 
 
 
 
 
 🔍
 
 Role Overview
 
 
 
 As a Data Scientist, you&rsquo;ll work closely with the R&amp;D and analytics teams to extract value from large proprietary datasets and help build intelligent tools that directly support business decisions.
 
 
 
 
 
 ✅
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyse complex datasets (e.g. trader behavior, revenue, payouts) to uncover actionable insights.
 </li>
 <li>
 Develop predictive models for trader profitability, churn, and payout forecasting.
 </li>
 <li>
 Build and deploy ML-powered tools to enhance operations, risk management, and product development.
 </li>
 <li>
 Work collaboratively with analysts and stakeholders to bring prototypes to life.
 </li>
 <li>
 Identify and drive new use cases for AI/ML across the business.
 </li>
 <li>
 Communicate findings clearly to both technical and non-technical teams.
 </li>
 </ul>
 
 
 
 
 🎯
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 3+ years of experience as a
 
 Data Scientist
 
 or
 
 Machine Learning Engineer
 
 .
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 ; experience with
 
 pandas, scikit-learn
 
 , and
 
 TensorFlow or PyTorch
 
 .
 </li>
 <li>
 Proven experience in data wrangling, feature engineering, and model development.
 </li>
 <li>
 Hands-on knowledge of forecasting, classification, or recommendation systems.
 </li>
 <li>
 Self-starter mindset &mdash; comfortable navigating ambiguity and driving projects forward.
 </li>
 <li>
 Strong communication and stakeholder engagement skills.
 </li>
 <li>
 
 Bonus
 
 : Interest or background in trading, markets, or fintech.
 </li>
 </ul>
 
 
</div>
 <div id='job-id'>Job Id: 2BwJuLfX9lMkc7ThY3m8BskyRZ7XToI53eMd5uof01k7gksOqIcRpbyEpdu9xdVibr6QuT03MkisAxIWoK3cByHxy3SQsvzEtQ==</div>

Data Scientist

Emirates Leisure Retail

<div>
 
 
 About Us
 
 
 
 
 
 
 Emirates Leisure Retail (ELR) is subsidiaries of the Emirates Group, committed to excellence in the food and beverage industries. ELR operates a diverse portfolio of over 300+ food and beverage outlets across the globe, featuring internationally acclaimed brands like Costa Coffee UAE and Pret A Manger. ELR embodies our businesses dedication to innovation, quality, and exceptional customer experiences.
 
 
 About the Role: We&rsquo;re looking for enthusiastic and customer-focused Team Leader to join our team across our food and beverage outlets delivering exceptional customer experiences, ensuring high-quality service, and fostering a collaborative work environment. Whether customer-facing, supporting with food preparation, or providing operational support, you&rsquo;ll play a vital part in creating memorable experiences for our customers while working as part of a dynamic and supportive team.
 
 
 
 
 
 
 Role Purpose
 
 
 
 
 
 
 
 
 
 As a Data Scientist within the CRM &amp; Loyalty team, you&rsquo;ll transform customer and operational data into powerful strategies that elevate how we engage, retain, and grow our customer base. You will own and be the champion of measurement and advanced analytics, uncovering hidden patterns that drive smarter decisions and tangible results.
 
 
 
 
 
 This is a high-impact role where your insights will directly influence key decisions, fuel loyalty innovation, and shape the customer journey across our e-commerce platform, mobile app, retail stores and b2b accounts. Beyond CRM &amp; Loyalty, you&rsquo;ll also partner with cross-functional teams to address strategic challenges in retail operations, pricing &amp; promotions, category strategy, and B2B performance &mdash; solving high-value business problems with data.
 
 
 
 
 
 By combining statistical modelling, machine learning, and domain knowledge, you will provide deep, actionable insights that empower the business to anticipate customer needs, design personalized experiences, and strengthen our position as the region&rsquo;s leading master franchise of a global coffee brand.
 
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Build and evolve customer data architecture to support advanced analytics, segmentation, and campaign personalization across CRM and loyalty ecosystems.
 </li>
 <li>
 Develop predictive models and analytical frameworks to forecast customer behavior, optimize program performance, and drive data-informed decision-making.
 </li>
 <li>
 Transform complex data into actionable insights, delivering clear recommendations that improve targeting, retention, and lifetime value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., BI, marketing, e-commerce, retail, category) to align data science efforts with strategic business goals.
 </li>
 <li>
 Continuously explore new tools and trends in data science to maintain technical excellence and deliver innovative customer solutions.
 </li>
 <li>
 Perform statistical analysis and/or data mining methods to discover hidden patterns and relations in data to answer business questions
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Required Skills, Experience &amp; Qualification
 
 
 
 
 
 <ul>
 <li>
 Minimum 5 years&rsquo; experience in data analytics.
 </li>
 <li>
 Proficient in SQL and Python/R, using them to solve real business problems.
 </li>
 <li>
 Strong understanding of customer behaviour and drivers of retention, loyalty, and value.
 </li>
 <li>
 Skilled at simplifying complex concepts and collaborating with marketing, e-commerce, and BI teams.
 </li>
 <li>
 Knowledge in data visualization tools like Power BI or Tableau or Looker
 </li>
 <li>
 Passionate about segmentation, uplift modelling, and campaign design.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desirable Skills
 
 
 
 
 
 <ul>
 <li>
 Experience in consuming API&rsquo;s and automating processes with API&rsquo;s
 </li>
 <li>
 Experience in retail business/e-commerce
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us
 
 
 
 
 
 
 Join
 
 MMI
 
 and use your data science expertise to shape the future of our CRM, loyalty, and e-commerce strategies. Collaborating with marketing, retail, and digital teams, you&rsquo;ll see your insights directly influence business decisions, customer experiences, and revenue growth &mdash; all within a forward-thinking organisation that values innovation, collaboration, and measurable impact.
 
 
 
 
</div>

Deeplight AI

<div>
 Deeplight AI is a premier professional services company delivering innovative AI and data science solutions to enterprise clients across the Middle East. We combine deep technical expertise with regional domain knowledge to help organizations harness the power of data and artificial intelligence. As trusted partners to leading businesses and government entities throughout the region, we drive digital transformation initiatives that align with national visions while delivering measurable business impact. At Deeplight AI, we're committed to advancing the AI ecosystem in the Middle East through ethical, responsible, and culturally-informed approaches to data science and machine learning.
 
 
 
 Job Summary
 
 
 
 As a Senior Data Scientist at Deeplight AI, you will lead the development of sophisticated data science solutions that address complex business challenges for our enterprise clients in the Middle East. This role requires combining advanced analytical expertise with business acumen to uncover actionable insights and develop predictive models that drive strategic decision-making. You will collaborate with cross-functional teams, mentor junior data scientists, and serve as a trusted advisor to clients, translating technical concepts into business value. This position offers the opportunity to work on high-impact projects across diverse industries while contributing to the region's ambitious digital transformation goals.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Lead end-to-end data science projects from problem formulation and data collection to model deployment and business implementation
 </li>
 <li>
 Design and develop advanced statistical models, machine learning algorithms, and data visualization solutions tailored to client needs
 </li>
 <li>
 Extract actionable insights from complex, multilingual datasets and communicate findings to technical and non-technical stakeholders
 </li>
 <li>
 Collaborate with AI engineers and software developers to operationalize models and integrate them into production systems
 </li>
 <li>
 Develop and implement data science best practices, methodologies, and quality standards across projects and teams
 </li>
 <li>
 Mentor junior data scientists and contribute to building data science capabilities within client organizations
 </li>
 <li>
 Stay abreast of emerging techniques and technologies in data science and evaluate their potential application to regional business challenges
 </li>
 <li>
 Advise clients on data strategy, governance, and compliance with regional regulations while ensuring ethical AI practices
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field
 </li>
 <li>
 5+ years of professional experience applying data science techniques to solve business problems
 </li>
 <li>
 Strong proficiency in statistical analysis, experimental design, and machine learning techniques
 </li>
 <li>
 Expert-level programming skills in Python and R, with experience using data science libraries and frameworks
 </li>
 <li>
 Demonstrated experience building and deploying predictive models, classification algorithms, clustering techniques, and time series forecasting
 </li>
 <li>
 Experience working with unstructured data, including text analytics and NLP techniques
 </li>
 <li>
 Proven ability to translate complex technical findings into actionable business recommendations
 </li>
 <li>
 Experience working in a client-facing role or professional services environment
 </li>
 </ul>
</div>

Senior Data Scientist

Emirates Global Aluminium (EGA)

<div>
 Job description:
 
 
 
 JOB PURPOSE:
 
 
 The Principal Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Principal Data Scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. He/ she is also responsible to define and implement DS standards and toolkit within EGA, and build and nurture the Data Science community within and beyond the CoE.
 
 
 &nbsp;
 
 
 KEY ACCOUNTABILITIES:
 
 <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 &ldquo;how and why&rdquo; 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>
 
 &nbsp;
 
 
 AUTHORITY/ DECISION MAKING:
 
 <ul>
 <li>
 Thinking within broadly defined policies, standards and objectives. The determination of &ldquo;what needs to be done&rdquo; 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>
 
 &nbsp;
 
 
 QUALIFICATIONS &amp; SKILLS:
 
 
 Qualifications
 
 <ul>
 <li>
 MS or PhD in Data Science, Computer Science, Engineering, Statistics.
 </li>
 <li>
 Programming languages knowledge, ideally in Python, R and SQL
 </li>
 </ul>
 
 &nbsp;
 
 
 Minimum Experience and Domain knowledge
 
 <ul>
 <li>
 10+ years&rsquo; of relevant experience in a statistical and data science role
 </li>
 <li>
 Should have Domain expertise and knowledge in Metal &amp; Mining or Energy or a combination of both industries and can communicate the business benefit of data science products, championing and governing these across the organisation. Communicates relevant, compelling stories in the most appropriate medium and ensures that data governance and data ethics are embedded in organisational strategy. Expert in aligning data science priorities with wider organisational objectives - for example, budget.
 </li>
 <li>
 Practices applied maths, statistics, and scientific practices, knows how to develop deeper expertise on a narrower range of specialisms and can start to apply emerging theory to practical situations.
 </li>
 <li>
 Proficiency working with Data Frames and writing complex SQL queries
 </li>
 <li>
 Proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
 </li>
 <li>
 Proven ability to merge and transform disparate internal &amp; external data sets together to create new features&nbsp;
 </li>
 <li>
 Experience of visualizing/presenting data for stakeholders using: Tableau, R Shiny, Plotly, Power BI, Periscope, Business Objects, D3, ggplot etc.
 </li>
 <li>
 Practices different Programming languages and knows how to develop, code, test, correct and document simple programs or scripts part of a multidisciplinary team. Knowledge of additional programming languages is a plus (C++, Java, SPSS, SAS, Scala)
 </li>
 <li>
 Strong knowledge of one or more data science or decision science domains (e.g. explainable artificial intelligence, econometrics, deep learning, Natural Language Processing, time series forecasting, deployment, causal inference, uplift modelling, and/or optimization)
 </li>
 <li>
 Expert working with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Leads ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business.
 </li>
 <li>
 Understands and can help teams apply a range of techniques to analyse data and provide insight across the product life cycle (data science). Proactive and can present compelling findings that inform wider decisions and applies innovative approaches to resolve problems.
 </li>
 <li>
 Knowledge of distributed computing or NoSQL technologies is a bonus
 </li>
 <li>
 Experience in automation &amp; control system and training in similar fields is valued.
 </li>
 </ul>
 
 &nbsp;
 
 
 Agile/Digital Experience
 
 <ul>
 <li>
 Experience of working with large data sets relational databases (SQL), simulation/ optimization and distributed computing tools (MapReduce, Hadoop, Hive, Spark, MySQL, H20.ai, Cloud AI platforms, containerization etc.) is desired.
 </li>
 <li>
 Experience with supporting deployment, monitoring, maintenance and enhancement of models desired
 </li>
 </ul>
 
 &nbsp;
 
 
 Individual Skills
 
 <ul>
 <li>
 Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
 </li>
 <li>
 Bias for action, with ability to deliver outstanding results through task prioritization and time management
 </li>
 <li>
 Demonstrated ability to efficiently learn and solve new business domains and problems
 </li>
 <li>
 Number sense; healthy skepticism around validity of data and its inherent biases
 </li>
 </ul>
 
 &nbsp;
 
 
 Mindset &amp; Behaviors
 
 <ul>
 <li>
 Intellectual curiosity to understand and answer questions
 </li>
 <li>
 Intellectual humility to leverage the expertise of others
 </li>
 <li>
 Exemplary organizational skills with attention to detail &amp; accuracy
 </li>
 <li>
 Ability to coach, mentor, and collaborate with squad members
 </li>
 </ul>
</div>

Principal Data Scientist

Prepaire Laboratory 7 Limited

Job Title: Senior Data Scientist &ndash; Digital TwinLocation: DubaiEmployment Type: Full-timeOverviewWe are seeking a Senior Data Scientist to lead the design, development, and deployment of our digital twin platform. You will work with multi-disciplinary teams&mdash;AI engineers, bioinformaticians, clinicians, and product managers&mdash;to create predictive models that translate complex biomedical data into actionable healthcare insights.Key Responsibilities<ul><li>Lead the development of patient-specific digital twin models integrating genomics, proteomics, metabolomics, imaging, and clinical data.</li><li>Design predictive algorithms for disease progression, treatment efficacy, and adverse event risk modeling.</li><li>Collaborate with data engineering teams to build scalable data pipelines for multi-modal data ingestion and processing.</li><li>Develop simulation frameworks to test intervention strategies before real-world application.</li><li>Implement machine learning and computational modeling techniques for real-time decision support.</li><li>Work closely with medical experts to ensure models are clinically relevant, explainable, and regulatory compliant.</li><li>Mentor junior data scientists and establish best practices for model development and validation.</li><li>Publish results and contribute to thought leadership in digital twin and precision medicine research.</li></ul>Requirements:<ul><li>Education: PhD or Master&rsquo;s in Data Science, Computer Science, Computational Biology, Bioinformatics, Applied Mathematics, or related field.</li><li>Experience: 5&ndash;8+ years in data science, with at least 3 years in healthcare, biotech, or life sciences.</li><li>Proven expertise in multi-modal data integration and time-series modeling.</li><li>Strong skills in machine learning (supervised, unsupervised, deep learning) using Python, R, or similar.</li><li>Experience with simulation modeling frameworks (e.g., agent-based models, systems biology modeling, digital twin architectures).</li><li>Familiarity with biomedical ontologies, EHR/EMR systems, and FHIR/HL7 standards.</li><li>Strong understanding of clinical trial design, regulatory requirements, and model validation in healthcare.</li><li>Excellent problem-solving skills, with the ability to translate complex scientific questions into computational solutions.</li></ul>Nice to Have<ul><li>Experience in precision medicine, pharmacogenomics, or drug discovery pipelines.</li><li>Familiarity with cloud computing (AWS, GCP, Azure) and MLOps best practices.</li><li>Publications or conference presentations in digital twin, predictive healthcare, or computational biology.</li></ul>What We Offer?<ul><li>Competitive salary and growth opportunities.</li><li>Availability for relocation is offered</li><li>The opportunity to drive innovation in the personalized medicine space.</li><li>Access to cutting-edge research, data, and tools.</li><li>A collaborative and forward-thinking environment where your ideas can make an impact.</li></ul>How to Apply:If you are passionate about supporting a high-performing team in an exciting, fast-paced industry, we&rsquo;d love to hear from you! Please submit your CV along with a cover letter detailing your relevant experience and why you believe you&rsquo;d be a great fit for Prepaire.Job Type: Full-timePay: AED25,000.00 - AED35,000.00 per month <div id='job-id'>Job Id: 8Dz4Z8887e+Dqvp9dzCfeFXza/tPRTlPzYXPIy0kRbc+IJaAumvGazlj+Rm8TsJTpsgS29SSMalO+8NCms4Cqg8gz8kZC0oCDK46GXHy2fIWkdakeARpQK8tFm5fj7cVxDlYM8WANoE=</div>

Senior Data Scientist – Digital Twin

Heaven Gifts

<div>
 
 
 About HeavenGifts
 
 
 
 HeavenGifts was founded in 2007 and has been a pioneer in China's e-vapor industry, witnessing and driving the industry's rapid development. In 2009, we established heavengifts.com to embark on the international journey of e-vapor products, building a bridge for domestic brands to enter the global market. From 2018 to 2021, we successfully transformed into a global brand owner, launching renowned brands such as ELFBAR and LOST MARY. Our business now covers over 100 markets worldwide, with more than 100,000 retail outlets, serving over 50 million adult users. We are committed to becoming a globally recognized and trusted new generation tobacco brand.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced machine learning models to support key business functions such as recommendation, demand forecasting, and customer segmentation.
 </li>
 <li>
 Build end-to-end ML pipelines, including data collection, feature engineering, model training, validation, and production deployment.
 </li>
 <li>
 Analyze large-scale structured and unstructured datasets to uncover business insights and support data-driven decision making.
 </li>
 <li>
 Collaborate with product, engineering, and marketing teams to translate business needs into data science solutions.
 </li>
 <li>
 Drive A/B testing, uplift modeling, and experiment design to evaluate the impact of product or marketing changes.
 </li>
 <li>
 Evaluate new tools, algorithms, and industry trends to continuously improve modeling approaches.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 <ul>
 <li>
 Bachelor's degree or Master&rsquo;s degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related field.
 </li>
 <li>
 5+ years of experience in data science, with at least 2 years in designing and deploying models in a production environment.
 </li>
 <li>
 Proficient in Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow), SQL, and version control tools (e.g., Git).
 </li>
 <li>
 Strong experience with machine learning algorithms, statistical modeling, and time series forecasting.
 </li>
 <li>
 Familiar with big data processing frameworks (e.g., Spark, Dask) and ML pipeline orchestration tools (e.g., Airflow, MLflow, Kubeflow).
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models via containers (e.g., Docker).
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualities
 
 
 <ul>
 <li>
 Track record of delivering high-impact, production-level AI/ML projects.
 </li>
 <li>
 Demonstrated thought leadership through published papers, patents, or open-source contributions.
 </li>
 <li>
 Passion for innovation, ownership, and continuously expanding the boundaries of what data science can do in a business context.
 </li>
 </ul>
 
 
 
 
 
 HeavenGifts is looking forward to your joining and creating a brighter future together.
 
 
 
 
 HeavenGifts &ndash; Innovation, Sustainability, Responsibility.
 
 
 
 
</div>

Position: Lead Data Scientist &ndash; AI, Click Chemistry, and Digital Twin Systems Location: Dubai (preferred) / Hybrid / Remote for exceptional candidates Compensation: Competitive salary + substantial equity stake + performance-based bonuses Start Date: ASAP &ndash; we&rsquo;re moving fast.About UsPrepaire Labs is the operating system of biology, a first-of-its-kind, open-architecture biological execution engine integrating AI-driven drug discovery, precision diagnostics, and real-time Digital Twins across a global federated network. Our ecosystem includes Clicktromics&trade; (AI + click chemistry for targeted therapeutics), GenetiQ (Digital Twin precision health), and a developer-friendly SDK that powers a plug-and-play marketplace for clinics, researchers, and biotech innovators.We&rsquo;re blending graph neural networks, diffusion models, federated learning, and iPSC/organoid feedback loopsinto a single seamless system that can design, simulate, and validate biology at scale. You&rsquo;ll be working on projects with direct impact, from antibody-drug conjugates for cancer to personalized regenerative therapies.The MissionWe&rsquo;re looking for a hands-on, visionary Lead Data Scientist who can code like an engineer, think like a systems architect, and inspire like a CTO. This role isn&rsquo;t about sitting in meetings, it&rsquo;s about rolling up your sleeves and building the AI backbones that power the next generation of human health.You&rsquo;ll lead multi-disciplinary teams across:<ul><li>Click Chemistry + Clicktromics&trade;: Predictive modeling and optimization of bioorthogonal reactions, payload-linker-drug assembly, and ADC design.</li><li>Digital Twin: Multi-omics ingestion pipelines, real-time model training, patient simulation, and therapy prediction engines.</li><li>Federated AI Systems: Model pruning, secure training, and orchestration across global nodes.</li></ul>What You&rsquo;ll Do<ul><li>Architect &amp; Build</li><li>Develop GNN, transformer, and hybrid AI pipelines for molecular design and patient-specific modeling.</li><li>Integrate click chemistry modeling tools into the Prepaire SDK for in silico-to-in vitro feedback loops.</li><li>Lead &amp; Inspire</li><li>Manage data science, bioinformatics, and ML engineering teams across continents.</li><li>Collaborate with chemists, biologists, and hardware engineers to translate science into scalable code.</li><li>Innovate &amp; Deliver</li><li>Turn scientific breakthroughs (e.g., new linkers or ADC payloads) into deployable, AI-driven design modules.</li><li>Build predictive models that guide therapeutic selection inside the GenetiQ Digital Twin.</li></ul>You Bring<ul><li>PhD or Master&rsquo;s in Computer Science, Bioinformatics, Computational Chemistry, or related field.</li><li>Deep experience in machine learning for biology (drug design, multi-omics modeling, protein-ligand interactions, or similar).</li><li>Fluency in Python, PyTorch/TensorFlow, and distributed computing frameworks.</li><li>Hands-on experience with chemical informatics (RDKit, DeepChem) and structural biology toolkits.</li><li>Proven leadership of cross-functional teams in high-stakes, time-critical projects.</li><li>Bonus: Experience with federated learning, quantum chemistry models, or iPSC/organoid modeling.</li></ul>What We Offer<ul><li>Strong salary: competitive with top-tier biotech + tech hybrid roles.</li><li>Equity: you&rsquo;ll own part of the company you help build.</li><li>Work on bleeding-edge science with Nobel-caliber collaborators.</li><li>Access to world-class labs and compute infrastructure (MIT, Harvard, Masdar, and beyond).</li><li>The freedom to move fast and ship real innovations: no academic red tape.</li></ul>Apply now: send your CV, GitHub, and a short note on the most ambitious technical project you&rsquo;ve ever led to: jobs@prepaire.comJob Type: Full-timePay: AED30,000.00 - AED40,000.00 per month

Explore 2170+ Data scientist in Dubai this August. Find roles across top companies and apply now to boost your career.

2170 data scientist jobs IN Dubai

Data Scientist

Data Scientist

Senior Data Scientist

Principal Data Scientist

Senior Data Scientist – Digital Twin

Senior Data Scientist

Senior Data Scientist – Digital Twin