DATA SCIENTIST

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Description

Job Overview We are seeking a Data Scientist to develop and enhance data-driven models for a business digital risk intelligence platform covering Asia Pacific and India. The role focuses on analysing large-scale, longitudinal datasets comprising publicly observable business information, identifying meaningful patterns and changes over time, and translating these signals into reliable risk scores and actionable insights. The successful candidate will contribute to the development, validation and optimisation of machine learning models that support business risk assessment, market intelligence and change detection. Key Responsibilities Develop, evaluate and refine machine learning models to assess business digital risk using publicly observable data. Analyse longitudinal datasets to identify changes in business digital footprints, detect anomalies and uncover emerging risk indicators. Design and implement features using historical observations, statistical analysis and time-series techniques to improve predictive performance. Develop business risk scoring methodologies and validate their reliability, consistency and predictive value. Perform data cleaning, feature engineering, entity matching and data quality analysis to improve the accuracy and integrity of business records. Develop analytical methods to classify businesses and normalise risk scores across different industries and geographical markets. Build and optimise data processing and modelling pipelines using Python, SQ

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