Data Scientist jobs in United Arab Emirates
Data Scientist - Predictive Modeling & Data Visualization
GAL
Senior Data Scientist – PoCs, Market Insights & Analytics
Etihad Credit Bureau
Senior Data Scientist: PoCs, Market Insights & Analytics
Etihad Credit Bureau
Discover more opportunities than anywhere else. Find more jobs nowApplied Data Scientist – MLOps
Vinirma Consulting Private Limited
Agentic AI Data Scientist
WomenTech Network
Data Scientist: Build Predictive Models & Insights
TALENTMATE
Connect with headhunters to apply for similar jobsLead Data Scientist: End-to-End ML & Insights
Halian | Managed Services, Recruitment Agency & Contract Staffing
Data Scientist - End-to-End ML & Insights
Halian | Managed Services, Recruitment Agency & Contract Staffing
Senior Data Scientist: Fashion Ecommerce Growth
Ounass
Senior Data Scientist: ML & MLOps on Azure Databricks
Duncan & Ross
Senior Data Scientist: Fashion Ecommerce Growth
Ounass
Public Finance Data Scientist: Predictive Analytics & ML
Imbibe Consultancy Services Pvt Ltd
Data Scientist – Public Finance & Predictive Analytics
Imbibe Consultancy Services Pvt Ltd
Hedge Fund Data Scientist — ML for Market Insights
Durlston Partners
Data Scientist — Hedge Fund Impact in Abu Dhabi
Durlston Partners
End-to-End Data Scientist: ML Deployment & Insights
Theoptimum
End-to-End Data Scientist: Insights to Deployment
Theoptimum
Director Data Scientist - Analysis
Talabat
Data Scientist
Job summary
A data analytics company in Abu Dhabi is seeking a Data Scientist to extract insights from structured and unstructured data. The successful candidate will build predictive models, perform statistical analysis, and support data-driven decisions. Responsibilities include collecting and analyzing large datasets, developing machine learning algorithms, and communicating insights through visualizations. Candidates should have strong programming skills in Python or R and a bachelor’s degree in Data Science or a related field. Experience ranging from 3–7 years is preferred.
Qualifications
- 3–7 years of experience in Data Science or Analytics roles.
- Proven experience analyzing large datasets and delivering insights.
- Hands-on experience building predictive and statistical models.
Responsibilities
- Collect, clean, analyze, and interpret large datasets from multiple sources.
- Develop statistical models and predictive analytics solutions.
- Build dashboards and visualizations to communicate insights.
Skills
Education
Tools
Data Scientist is responsible to extract insights from structured and unstructured data, build predictive models, and support data-driven decision-making across the organization. The role involves applying statistical analysis, machine learning, and data visualization to solve complex business problems.
- Collect, clean, analyze, and interpret large datasets from multiple sources.
- Develop statistical models, machine learning algorithms, and predictive analytics solutions.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Translate business requirements into analytical and data science solutions.
- Build dashboards, reports, and visualizations to communicate insights to stakeholders.
- Collaborate with data engineers and software developers to deploy models.
- Validate and monitor model performance and accuracy.
- Ensure data quality, governance, privacy, and compliance.
- Document methodologies, models, and assumptions.
May lead small team of Data Scientist Team in delivering project modules
Must be able to communicate well in English language in order to write software technical documentation, create coding standards & instructions and to effectively interact with Project Lead, Development team and Technical staffs. Knowledge of Arabic is a plus.
- Master’s degree or PhD in Data Science, Statistics, or related field.
- Experience with Big Data tools (Spark, Hadoop).
- Knowledge of data governance, data ethics, and explainability.
- Relevant certifications in Data Science or Analytics.
Nationality
No Restriction
Minimum Qualification:
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
Strong programming skills in Python or R.
Solid understanding of statistics, probability, and data analysis techniques.
Experience with machine learning libraries: Scikit-learn, TensorFlow, PyTorch (as applicable).
Proficiency in data manipulation and analysis tools (Pandas, NumPy).
Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
Strong SQL skills; familiarity with NoSQL databases is a plus.
Knowledge of cloud data platforms (AWS, Azure, GCP).
3–7 years of experience in Data Science, Analytics, or related roles.
Proven experience analyzing large, complex datasets and delivering actionable insights.
Hands-on experience building and validating predictive and statistical models.
Experience applying machine learning techniques in real-world use cases.
Experience working with business stakeholders to define analytical requirements.
Experience deploying models or analytics solutions into production environments is preferable.
Exposure to NLP, Time-Series Analysis, or Big Data technologies is a plus.
Experience in enterprise, government, or regulated environments is an advantage.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.