Data Scientist

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

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.

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