Data Scientist - 6 months contract
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. In the GCC market, this role is actively hired across saudi with 2 recent postings.
A Data Scientist - 6 months contract in the GCC region requires machine learning, presentation, lean, python, sql. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. This role is in demand across the Gulf Cooperation Council countries.
Salary across the GCC
Monthly gross median in local currency, by country × seniority.
| Country | Junior | Mid-Level | Senior | Lead / Principal |
|---|---|---|---|---|
| United Arab Emirates | 18,500 AED | 31,500 AED | 49,000 AED | 68,000 AED |
| Saudi Arabia | 17,500 SAR | 30,000 SAR | 47,000 SAR | 65,000 SAR |
| Qatar | 19,000 QAR | 33,000 QAR | 51,500 QAR | 71,000 QAR |
| Kuwait | 1,500 KWD | 2,600 KWD | 4,000 KWD | 5,550 KWD |
| Oman | 1,650 OMR | 2,900 OMR | 4,450 OMR | 6,200 OMR |
| Bahrain | 1,600 BHD | 2,750 BHD | 4,250 BHD | 5,900 BHD |
How Data Scientist - 6 months contract pay varies in the UAE
UAE · mid-level · monthly gross in AED
Based on 500 data points · updated June 15, 2026 · How we estimate
By company size
Median compensation varies with headcount.
Top-paying industries
Median for this role, ranked by sector.
Estimates modelled from GCC pay surveys and live posting volume — a directional guide, not a live salary feed.
Top hiring companies
- Müller`s Solutions
Active markets
- saudi
- 01
Analyze large and complex data sets to identify trends, patterns, and relationships.
- 02
Develop and implement machine learning models to solve specific business problems.
- 03
Collaborate with stakeholders to define data requirements and translate business needs into data science problems.
- 04
Prepare data for analysis, including data cleaning, preprocessing, and transformation.
- 05
Communicate findings and insights to stakeholders through reports, dashboards, and presentations.
- 06
Stay current with advancements in data science, machine learning techniques, and industry best practices.
- 07
Monitor and maintain existing predictive models, updating them as necessary.
- 08
Participate in data governance and data quality initiatives to ensure data integrity.
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