Senior Data Scientist - Fraud

7 to 8 years' experience as a Data Scientist Familiarity with production deployment of machine learning models Proficiency in Python and SQL Strong capabilities in data manipulation and visualisation using Pandas/Polars, NumPy, and Matplotlib/Seaborn Practical experience with machine learning frameworks such as scikit-learn, XGBoost/LightGBM/CatBoost Solid understanding of both supervised and unsupervised learning techniques Ability to communicate findings clearly with technical and non-technical stakeholders

Help design and evolve fraud detection mechanisms Build and refine real-time models to identify and block fraud Invent new detection strategies Design and validate data-driven hypotheses Collaborate with engineers to deploy and scale models Define model monitoring strategies Investigate the latest advances in fraud analytics