Job Code: 6230
Position:
Data Scientist
Location: Abu Dhabi
Client: Government
Role Type: 1 year and renewable
Experience: 5+ years of experience in data science or analytics
Languages:
Arabic, English
Education: Bachelor s or Master s degree in Data Science, AI, Statistics, or a related field
Skills & Competencies
- Strong programming skills in Python (preferred) or R, with experience in large-scale data processing (e.g., SQL, Spark)
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and end-to-end model development
- Experience deploying models into production and familiarity with MLOps practices (CI/CD, monitoring, retraining)
- Understanding of data pipelines and working with cloud data platforms (preferably Azure, Databricks)
- Strong knowledge of statistical analysis, predictive modelling, and data preprocessing techniques
- Experience with data visualization tools (Power BI, Tableau) for communicating insights
- Awareness of data governance, data quality, and AI governance principles
- Strong analytical, problem-solving, and stakeholder engagement skills
About The Role
Client is looking for a skilled and motivated Data Scientist to develop advanced analytics and AI solutions that drive business value. This role will focus on building predictive models, optimization solutions, and data-driven insights to support operational and strategic decision-making across the organization.
The ideal candidate will combine strong analytical capabilities with business understanding to translate complex data into actionable insights.
Key Responsibilities
- Data Analysis & Insight Generation
- Analyze large datasets to identify trends and generate actionable insights for decision-making and operational efficiency.
- Communicate findings through visualizations and clear storytelling.
- Machine Learning & Model Development
- Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.
- Apply statistical and ML techniques to solve complex business problems.
- Data Preparation & Feature Engineering
- Prepare data through extraction, cleaning, preprocessing, and feature engineering.
- Ensure data quality and integrity for reliable model performance.
- Model Deployment & Monitoring
- Deploy models into production and monitor performance for drift or degradation.
- Continuously improve models based on feedback and new data.
- Collaboration & Stakeholder Engagement
- Work with business teams to translate requirements into analytical solutions.
- Collaborate with Data Engineering and Data Governance teams for end-to-end delivery.
- AI Governance
- Ensure all AI/ML activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved, governed data.
- Implement responsible and secure AI practices, including bias/fairness checks, explainability, model documentation, auditability, and collaboration with cybersecurity and data governance teams.
Requirements
Education & Experience
Bachelor s or Master s degree in Data Science, AI, Statistics, or a related field . 5+ years of experience in data science or analytics
