Lead Data Scientist - Financial Services

Client of Discovered MENA

Translate complex business problems into structured analytical and machine learning solutions, defining hypotheses, success metrics, and validation strategies.

Lead the design and development of advanced statistical, machine learning, and NLP models to solve high-impact use cases.

Own the end-to-end data science lifecycle, including data exploration, feature engineering, model development, validation, and deployment.

Conduct rigorous experimentation using cross-validation, back-testing, and statistical analysis to continuously improve model performance.

Collaborate with data engineering teams to ensure high-quality, scalable data pipelines and curated datasets for production use.

Support model deployment using APIs, batch, or streaming approaches, ensuring scalability, performance, and security.

Monitor model performance, data drift, and reliability, implementing retraining strategies and lifecycle management processes.

Ensure models meet interpretability, fairness, and regulatory standards within a governed environment.

Contribute to code quality, reusability, documentation standards, and continuous improvement of team practices.

Support model governance, documentation, and audit readiness, ensuring compliance with internal and regulatory frameworks.