Data Scientist

About this role

Batch: 2024/2025/2026. Responsibilities: - Design and develop risk-based underwriting and decision strategies using financial, bureau, and transactional data - Perform simulations and A/B experiments to evaluate strategy impact on approvals, risk, and business metrics - Analyse experiment outcomes to measure uplift, segment-level behaviour, and risk trade-offs - Collaborate with risk analysts, product managers, and engineers to deploy and iterate on strategies - Monitor post-deployment performance and identify opportunities for optimisation or corrective action - Ensure proper documentation of assumptions, methodologies, and results for audit and review Skills & Required Qualifications: - 0-2 years of experience in data science, analytics, or risk-focused roles - Strong proficiency in Python Pandas, NumPy, data analysis workflows - Solid working knowledge of SQL for data extraction, validation, and analysis - Experience working with structured financial or transactional datasets - Strong analytical thinking with the ability to reason about edge cases and data anomalies - Ability to communicate insights clearly to both technical and non-technical stakeholders Good to Have: - Exposure to credit risk, lending, underwriting, or fintech domains - Experience with A/B testing, simulations, or experiment design - Familiarity with rule-based decision systems or scorecard-driven approaches - Understanding of basic statistical concepts and model evaluation metrics - Experience working in fast-paced, data-driven environments