Data Scientist

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

• 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 (Tensor Flow, 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.

• 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.