Data Scientist - Banking

We are currently looking Data Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design 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 Required

Advanced 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 tools

Familiarity 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 series

Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases

Working knowledge of embeddings vector stores or text-based models

Git-based versioning and reproducible ML workflow setup

Joining time frame: 2 weeks (maximum 1 month)

Remote Work :

No

Employment Type :

Full-time

Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Experience: years
Vacancy: 1