Data Scientist

- Build and deploy predictive models for credit scoring, anti-fraud detection, and eKYC (electronic Know Your Customer) applications.- Analyze and transform data from various sources into unified forms, organizing them within data platforms and/or feature stores, aligning with Risk Modelling team requirements.- Preprocess structured and unstructured data to ensure high-quality input for model development.- Analyze large datasets to identify trends, patterns, and insights to inform decision-making.- Apply ensemble modeling techniques and optimize existing models to enhance performance.- Visualize data insights and provide actionable solutions to business challenges.- Collaborate closely with cross-functional teams to streamline and optimize data workflows.- Mentor junior team members and share expertise to foster skill development.- Develop and maintain reporting tools for risk analysis and underwriting metrics.- Improve data infrastructure, utilizing Python, SQL, and DWH technologies for more efficient analysis and monitoring.