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senior data scientist (6 months contract) Jobs in Abu Dhabi

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senior data scientist 6 months contract

Contango

<div>Contract duration: 6 months (with a potential extension) 
Engagement Type: Full-time 
Start date: July 2026 
Location: Abu Dhabi (on-site) 
About Contango:
Contango is the strategic partner for transformative growth and sustained success for the ADQ portfolio. Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations. As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
Role Overview
As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data &amp; AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact. 
Key Responsibilities
Use Case Framing &amp; Solution Design<ul><li>
Translate client business problems into end-to-end system architectures that combine Data, ML, and software components.</li><li>
Lead the design of scalable, modular AI solutions, defining services, interfaces, and data flows.</li><li>
Make explicit trade-offs across performance, cost, latency, and maintainability.</li><li>
Define success metrics, SLAs, and non-functional requirements (reliability, security, scalability).</li></ul>
Data Engineering &amp; Feature Systems<ul><li>
Design and implement robust data pipelines (batch and streaming) with strong guarantees on quality, lineage, and observability.</li><li>
Build and manage feature pipelines and feature stores, ensuring consistency between training and inference.</li><li>
Collaborate with platform teams to define data models, schemas, and storage strategies.</li><li>
Enforce standards for data validation, testing, and monitoring within production systems.</li></ul>
Applied ML &amp; Production-Grade Development<ul><li>
Develop ML solutions using production-quality code (Python/JS), following software engineering best practices.</li><li>
Structure codebases into maintainable, testable modules, with clear separation of concerns.</li><li>
Implement unit, integration, and end-to-end tests for data and ML components.</li><li>
Package models and logic into deployable services (APIs, microservices, batch jobs) using modern frameworks.</li><li>
Balance model sophistication with system performance, latency, and operational constraints.</li></ul>
MLOps, DevOps &amp; Platform Integration<ul><li>
Build and maintain CI/CD pipelines for ML systems, including automated testing, validation, and deployment.</li><li>
Containerize and deploy services using Docker, Kubernetes, and cloud-native tooling.</li><li>
Implement model versioning, experiment tracking, and artifact management.</li><li>
Design monitoring and observability systems (logs, metrics, alerts) for both data and model performance.</li><li>
Automate retraining, rollback, and release strategies to ensure system resilience.</li></ul>
System Reliability, Scalability &amp; Security<ul><li>
Design systems for high availability, fault tolerance, and horizontal scalability.</li><li>
Optimize performance across data pipelines and inference services (latency, throughput, cost).</li><li>
Apply secure coding practices, access controls, and data protection standards.</li><li>
Manage technical debt and ensure long-term maintainability of production systems.</li></ul>
Documentation, Standards &amp; Engineering Excellence<ul><li>
Produce developer-focused documentation (APIs, architecture diagrams, runbooks).</li><li>
Establish and enforce coding standards, review processes, and engineering best practices.</li><li>
Build reusable libraries, SDKs, and internal frameworks to accelerate delivery.</li><li>
Drive continuous improvement in engineering maturity, tooling, and delivery practices across the consultancy.</li></ul>
Required Experience and Qualifications<ul><li>
Prior experience at management consulting firms and/or Big Tech is an advantage.</li><li>
Client-serving experience is an advantage.</li><li>
5+ years of experience in data science or a related analytical field.</li><li>
5+ years delivering end-to-end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production.</li><li>
Experience applying software engineering methodologies and best practices, including coding standards, code reviews, build processes, testing, and security.</li><li>
Prior experience in developing AI solutions on public cloud services is an advantage.</li><li>
Bachelor&rsquo;s degree (Master&rsquo;s preferred) in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering).</li><li>
Technical Expertise:<ul><li>
Coding &amp; data querying: Python (pandas/NumPy) and SQL; writing clean, testable code with Git.</li><li>
Statistics &amp; experimentation: Probability/statistics, hypothesis testing, regression, and A/B testing/experimental design.</li><li>
ML modelling: Feature engineering, model selection, cross-validation, metrics, and hyperparameter tuning (supervised/unsupervised).</li><li>
Data prep &amp; analysis: ETL/EDA, data cleaning, handling missing/outliers, and building insight narratives with visuals.</li></ul></li></ul></div>

Senior Data Scientist (6 months contract)

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 About Contango
 
 
 
 Contango is the strategic partner for transformative growth and sustained success for the ADQ portfolio. Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations. As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
 
 
 
 Role Overview
 
 
 
 As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data &amp; AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Use Case Framing &amp; Solution Design
 
 
 
 <ul>
 <li>
 Translate client business problems into end-to-end system architectures that combine Data, ML, and software components.
 </li>
 <li>
 Lead the design of scalable, modular AI solutions, defining services, interfaces, and data flows.
 </li>
 <li>
 Make explicit trade-offs across performance, cost, latency, and maintainability.
 </li>
 <li>
 Define success metrics, SLAs, and non-functional requirements (reliability, security, scalability).
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Feature Systems
 
 
 
 <ul>
 <li>
 Design and implement robust data pipelines (batch and streaming) with strong guarantees on quality, lineage, and observability.
 </li>
 <li>
 Build and manage feature pipelines and feature stores, ensuring consistency between training and inference.
 </li>
 <li>
 Collaborate with platform teams to define data models, schemas, and storage strategies.
 </li>
 <li>
 Enforce standards for data validation, testing, and monitoring within production systems.
 
 
 </li>
 </ul>
 
 Applied ML &amp; Production-Grade Development
 
 
 
 <ul>
 <li>
 Develop ML solutions using production-quality code (Python/JS), following software engineering best practices.
 </li>
 <li>
 Structure codebases into maintainable, testable modules, with clear separation of concerns.
 </li>
 <li>
 Implement unit, integration, and end-to-end tests for data and ML components.
 </li>
 <li>
 Package models and logic into deployable services (APIs, microservices, batch jobs) using modern frameworks.
 </li>
 <li>
 Balance model sophistication with system performance, latency, and operational constraints.
 
 
 </li>
 </ul>
 
 MLOps, DevOps &amp; Platform Integration
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for ML systems, including automated testing, validation, and deployment.
 </li>
 <li>
 Containerize and deploy services using Docker, Kubernetes, and cloud-native tooling.
 </li>
 <li>
 Implement model versioning, experiment tracking, and artifact management.
 </li>
 <li>
 Design monitoring and observability systems (logs, metrics, alerts) for both data and model performance.
 </li>
 <li>
 Automate retraining, rollback, and release strategies to ensure system resilience.
 
 
 </li>
 </ul>
 
 System Reliability, Scalability &amp; Security
 
 
 
 <ul>
 <li>
 Design systems for high availability, fault tolerance, and horizontal scalability.
 </li>
 <li>
 Optimize performance across data pipelines and inference services (latency, throughput, cost).
 </li>
 <li>
 Apply secure coding practices, access controls, and data protection standards.
 </li>
 <li>
 Manage technical debt and ensure long-term maintainability of production systems.
 
 
 </li>
 </ul>
 
 Documentation, Standards &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Produce developer-focused documentation (APIs, architecture diagrams, runbooks).
 </li>
 <li>
 Establish and enforce coding standards, review processes, and engineering best practices.
 </li>
 <li>
 Build reusable libraries, SDKs, and internal frameworks to accelerate delivery.
 </li>
 <li>
 Drive continuous improvement in engineering maturity, tooling, and delivery practices across the consultancy.
 
 
 </li>
 </ul>
 
 Required Experience And Qualifications
 
 
 
 <ul>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Client-serving experience is an advantage.
 </li>
 <li>
 5+ years of experience in data science or a related analytical field.
 </li>
 <li>
 5+ years delivering end-to-end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production.
 </li>
 <li>
 Experience applying software engineering methodologies and best practices, including coding standards, code reviews, build processes, testing, and security.
 </li>
 <li>
 Prior experience in developing AI solutions on public cloud services is an advantage.
 </li>
 <li>
 Bachelor&rsquo;s degree (Master&rsquo;s preferred) in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering).
 </li>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Coding &amp; data querying: Python (pandas/NumPy) and SQL; writing clean, testable code with Git.
 </li>
 <li>
 Statistics &amp; experimentation: Probability/statistics, hypothesis testing, regression, and A/B testing/experimental design.
 </li>
 <li>
 ML modelling: Feature engineering, model selection, cross-validation, metrics, and hyperparameter tuning (supervised/unsupervised).
 </li>
 <li>
 Data prep &amp; analysis: ETL/EDA, data cleaning, handling missing/outliers, and building insight narratives with visuals.
 </li>
 </ul>
 </ul>
</div>

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 
 
 We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior Data Scientist
 
 
 Location: Abu Dhabi
 
 
 Experience: 8+ Years
 
 
 Preferred: Western &amp; Diverse candidates
 
 
 
 
 
 Technical Requirements
 
 
 ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 
 
 Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 
 
 techniques.
 
 
 ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 
 
 prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 
 
 ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 
 
 familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 
 
 data extraction from specialized formats is a significant plus.
 
 
 ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 
 
 (Flask/FastAPI) and integrate them into larger software architectures.
 
 
 ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 
 
 identifying and mitigating biases in datasets.
 
 
 
 
 
 Professional Qualifications
 
 
 ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 
 
 track record of deploying models into production environments.
 
 
 ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 
 
 construction regulations, defense standards, supply chain taxonomies) and translate them
 
 
 into logic.
 
 
 ● Structured Delivery: Experience working in structured delivery models
 
 
 (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 
 
 ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 
 
 Backend Engineers, and Product Managers to align model outputs with real-world
 
 
 business logic.
 
 
 
 
 
 Please share your CV with the title of
 
 Senior Data Scientist
 
 
 
 Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 
</div>

Senior Data Scientist

M.A.H.Y Khoory & Co

Job Title: Mechanical Engineer (Temporary &ndash; 6 Months)We are looking for a Mechanical Engineer for a 6-month temporary contract as part of an ongoing project in Abu Dhabi (KIZAD). The role may be extended based on project requirements.Offer:<ul><li>1-year employment visa</li><li>Medical insurance provided</li><li>Contract may be extended based on project needs</li></ul>Requirements:<ul><li>B.Tech in Mechanical Engineering</li><li>Home country experience in Oil &amp; Gas, heavy machinery, machine parts, or construction design items</li><li>Strong experience in 3D AutoCAD design</li><li>Proficiency in SolidWorks, Autodesk Inventor, or similar design software</li><li>Ability to work on mechanical design projects independently</li><li>Good communication skills in English</li><li>Immediate availability preferred</li></ul>Pay: AED4,000.00 - AED5,500.00 per hourWork Location: In person

Mechanical Designing Engineer

Alternatives

We are a health-focused cloud kitchen dedicated to delivering fresh, nutritious, and delicious meals directly to our customers.Commis (Salad maker , Sauce maker,a la carte experience )Benefits: Food and Accommodation ,BonusKey Responsibilities:<ul><li>Assist chefs in basic food preparation</li><li>Wash, cut, and prepare vegetables and ingredients</li><li>Help in preparing salads, bowls, and simple healthy items</li><li>Maintain cleanliness of kitchen, tools, and work areas</li><li>Follow basic hygiene, safety, and food handling rules</li><li>Support kitchen team during service</li><li>Prepare dishes according to standardized healthy recipes and portion guidelines.</li><li>Organise and package food for delivery with accuracy and quality presentation.</li></ul>Requirement:Fresher or basic kitchen knowledge, willingness to learn, good hygiene habits, ability to work in a team.Note: Healthy Restaurant .Job Types: Full-time, Contract, PermanentContract length: 24 monthsAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Pay: AED1,800.00 - AED2,500.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)</li></ul>Experience:<ul><li>minimum 6 months: 1 year (Required)</li></ul>Language:<ul><li>English (Preferred)</li></ul>

Commis (salad maker,sauce maker, A la carte )

New York University Abu Dhabi

<div>
 The Center for Brain and Health (CBH) (https://brainandhealth.org/) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The Research Scientist will be a key member of a multidisciplinary team responsible for collection, c, MEG, EEG, and eye tracking. The tentpole of the CBH is a normative brain database - the first of its kind in the region - that includes structural, functional, and diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires
 
 
 Candidates must hold a Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or equivalent is preferred. This position requires extensive experience with multimodal MRI, including functional and structural MRI and tractography. Experience with big data analysis techniques is essential. Experience working with other large brain databases is preferred. The ideal candidate will possess strong computational skills and a strong publication record. Terms of employment include competitive salary and benefits.
 
 
 Applications will be accepted immediately. To be considered, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests, three representative publications, and three letters of reference, all in PDF format. For instructions and information on how to apply, please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html. If you have any questions, please email rokers@nyu.edu or kartik.sreenivasan@nyu.edu
 
 
 The anticipated appointment starting date is May 1, 2026, with funding guaranteed for a term of 18 months and opportunity for renewal of the position for additional years following performance evaluation. The terms of employment include highly competitive salary, housing allowance, and other benefits.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Research Scientist in the Center for Brain and Health – Dr. Bas Rokers and Dr. Kartik Sreenivasan

Insight

<div>
 
 About The Role
 
 
 
 As a Data Scientist, you will play a key role in transforming complex data into actionable insights that drive business value for our clients. Working within a global delivery model, you will collaborate closely with engineering teams and stakeholders to design, build, and deploy advanced analytics and machine learning solutions.
 
 
 This is an exciting opportunity to work with cutting-edge technologies in a collaborative, fast-paced environment, contributing to high-impact projects across multiple industries.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyse and interpret large, complex datasets from multiple sources
 </li>
 <li>
 Apply data mining, machine learning, and statistical techniques to solve business problems
 </li>
 <li>
 Design and build predictive models and algorithms
 </li>
 <li>
 Identify valuable data sources and automate data collection processes
 </li>
 <li>
 Pre-process structured and unstructured data for analysis
 </li>
 <li>
 Discover patterns, trends, and insights to support decision-making
 </li>
 <li>
 Develop and present insights using data visualisation tools
 </li>
 <li>
 Collaborate with client and internal engineering teams to integrate models into applications
 </li>
 <li>
 Recommend data-driven solutions and strategies to business challenges
 
 
 
 </li>
 </ul>
 
 Essential Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Proven experience in a Data Scientist or similar role
 </li>
 <li>
 Strong knowledge of machine learning algorithms and techniques
 </li>
 <li>
 Proficiency in Python or R
 </li>
 <li>
 Experience with data science libraries/tools (e.g. NumPy, Weka, MatLab)
 </li>
 <li>
 Experience with data visualisation tools and query languages
 </li>
 <li>
 Experience working with NoSQL databases (MongoDB, Cassandra, HBase)
 </li>
 <li>
 Strong experience handling structured and unstructured data.
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Strong analytical and statistical problem-solving skills
 </li>
 <li>
 Solid foundation in mathematics and statistics
 </li>
 <li>
 Ability to translate complex data into business insights
 </li>
 <li>
 Excellent communication skills, with the ability to engage stakeholders at all levels
 </li>
 <li>
 Critical thinking and a proactive, solution-oriented mindset
 </li>
 <li>
 Collaborative team player with strong interpersonal skills
 </li>
 </ul>
</div>

Data Scientist

Explore 380+ Senior data scientist 6 months contract in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

380 senior data scientist 6 months contract jobs In Abu Dhabi

Senior Data Scientist (6 months contract)

Senior Data Scientist (6 months contract)

Senior Data Scientist

Mechanical Designing Engineer

Commis (salad maker,sauce maker, A la carte )

Research Scientist in the Center for Brain and Health – Dr. Bas Rokers and Dr. Kartik Sreenivasan

Data Scientist