Data Scientist - Banking

Job DescriptionWe are currently looking Data Scientist for our Qatar operations with the following terms & conditions.Core ResponsibilitiesDesign, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.Perform data pre-processing, feature engineering, and model selection independently.Build and maintain automated model pipelines including training, validation, scoring and monitoring.Implement model drift detection, retraining logic, and performance diagnostics.Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.Expertise RequiredAdvanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)Strong command of SQL arid handling large datasets (via warehouse or lake)Experience deploying models using MLflow, Airflow, Docker, or similar toolsFamiliarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)Hands-on in training and evaluating models for binary classification, multi-class, regression, or time seriesExposure to deep learning (PyTorch or Tensorflow) for advanced use casesWorking knowledge of embeddings, vector stores, or text-based modelsGit-based versioning and reproducible ML workflow setupJoining time frame2 weeks (maximum 1 month)#J-18808-Ljbffr