Data Science Engineer, Credit Scoring, ML & Advanced Analytics, Assistant Senior Manager

Lead the design and deployment of cutting‑edge machine learning and statistical models that power the bank’s most critical decisions across credit, fraud, customer management, marketing, and operations. Champion innovation within DTB’s risk and analytics ecosystem—driving advancements in credit scoring, alternative data modelling, forecasting, and real‑time decisioning. Your work will strengthen model accuracy, uphold regulatory compliance, and deliver measurable business impact, positioning data and AI at the heart of DTB’s digital evolution

Advanced academic strength — a master’s degree in Statistics, Machine Learning, Data Science, Applied Mathematics, or Computer Science is highly preferred, showcasing your depth in analytical and quantitative disciplines.

Proven leadership in data science — 7–12+ years of hands‑on experience building advanced models, including 5+ years specifically in banking credit risk, credit scoring, or regulatory modelling.

Technical excellence — mastery of Python, SQL, Spark, and modern MLOps tools such as MLflow and Docker, with demonstrated experience implementing machine‑learning solutions at big‑data scale.

Regulatory and risk expertise — strong, practical knowledge of IFRS9, Basel standards, and CBK model governance requirements, enabling you to build models that are both high‑performing and fully compliant.