Job specializations:
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IT/Tech
Job Description & How to Apply Below
Abu Dhabi, United Arab Emirates | Posted on 11/11/2026
Uses data engineering, analytics, statistical methods and/or AI techniques to generate reliable insights or deploy practical data-driven solutions. The exact profile must be confirmed by the client before publication.
KEY RESPONSIBILITIES- Translate business or technical questions into data, analytics or AI deliverables, based on the approved role scope.
- Acquire, clean, validate, transform and document data from relevant operational and business sources.
- Develop Power BI dashboards, analytical models, ML models, governed data pipelines and AI applications using approved tools and methods.
- Evaluate outputs for accuracy, reliability, usefulness, bias and performance; document assumptions and limitations.
- Collaborate with subject-matter experts, software engineers, infrastructure and security teams to ope rationalise solutions where required.
- Apply appropriate data governance, privacy, access-control, model monitoring and responsible-AI practices.
ESSENTIAL REQUIREMENTS:
- Relevant experience in business intelligence, data engineering, machine learning and practical generative AI.
- Proficiency in Python, SQL, Power BI, scikit-learn and PyTorch as appropriate to specialisation, according to the specific role.
- Ability to validate data quality, communicate findings and explain technical results to non-technical stakeholders.
- Understanding of data privacy, access controls and secure handling of sensitive information.
PREFERRED /
ADDITIONAL QUALIFICATIONS:
- Experience with Power BI, PyTorch, scikit-learn, Azure AI services and data-warehouse technologies.
- Relevant degree or equivalent experience in computer science, statistics, mathematics, data science or a related discipline.
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