Senior Data Scientist

Job Description:

We are looking for a senior data scientist with strong leadership and hands-on technical skills to join our team in the banking sector . The ideal candidate will be responsible for developing and deploying machine learning solutions that address real business challenges, leading analytical initiatives from concept to production, and mentoring junior team members.

Key Responsibilities:

• Lead end-to-end data science projects —from business understanding and data preparation to model development, validation, and deployment.
• Design and implement machine learning and deep learning models for various banking use cases (credit scoring, fraud detection, customer segmentation, etc.).
• Deploy and maintain models in production environments, ensuring scalability, reliability, and performance.
• Build automated model pipelines , monitor performance, and manage model drift detection and retraining.
• Apply Explainable AI (XAI) methods to interpret model decisions and ensure regulatory transparency.
• Collaborate with cross-functional teams—data engineering, business analytics, and IT — to translate business needs into data-driven solutions.
• Ensure best practices in MLOps , version control, and CI/CD for machine learning systems.

Requirements:

• Bachelor’s degree in computer science, information technology, computer engineering, or a related field.
• 4+ years of experience in data science or applied machine learning, preferably in the banking or financial services domain .
• Proficiency in Python (NumPy, Pandas) or R , and strong SQL skills.
• Expertise with ML/DL frameworks: Scikit-Learn, TensorFlow, PyTorch, Keras, and Hugging Face .
• Hands-on experience with model deployment in production environments (not only experimentation).
• Skilled in MLflow, Kubeflow, Docker, Kubernetes , and implementing CI/CD pipelines.
• Experience implementing performance tracking, monitoring, and drift detection for models.
• Strong understanding of statistical modeling, data visualization, and feature engineering .
• Excellent communication skills in both Arabic and English .

Preferred Qualifications:

• Master’s Degree or Diploma in Data Science, Statistics, Applied Mathematics, or a related field.
• Experience working on AI governance, compliance, and explainability within banking environments.