Lead Data Scientist FameScore (MSME Credit Score)

Company Description FINAGG Technologies Private Limited is a fast-growing fintech organization focused on building and financing one of Indias largest distributor and retailer networks. Led by seasoned professionals with deep experience in the finance industry and successful exits from VC-funded ventures, the company combines strong domain expertise with innovation. FINAGGs platform is trusted by over 20 major corporate houses in India and is actively disrupting the traditional lending market. The company places SME/MSME businesses and retailers at the center of its mission, supporting the growth of Atmanirbhar Bharat. Team members join a dynamic environment dedicated to strengthening the countrys creation and consumption ecosystem. Role Description The Lead Data Scientist FameScore (MSME Credit Score) is a full-time on-site role based in Noida. This role is responsible for designing, developing, and refining credit scoring models for MSMEs using advanced data science, statistics, and analytics techniques. Day-to-day tasks include gathering and preprocessing data from multiple internal and external sources, performing exploratory data analysis, building and validating predictive models, and translating insights into actionable product and risk strategies. The Lead Data Scientist collaborates closely with engineering, product, risk, and business teams to operationalize models, monitor performance, and ensure regulatory and compliance standards are met. The role also involves mentoring junior data team members, driving best practices in model governance and documentation, and contributing to the continuous improvement of the FameScore framework. Qualifications Strong foundation in Data Science and Statistics, with experience applying these disciplines to risk modeling, credit scoring, or financial services.Proficiency in Data Analytics and Data Analysis to extract insights, identify patterns, and support data-driven decision-making.Ability to create clear and impactful Data Visualization outputs to communicate complex findings to technical and non-technical stakeholders.Hands-on experience with programming languages and tools commonly used in data science (e.g., Python/R, SQL, machine learning libraries, version control).Background in finance, banking, fintech, or MSME lending is highly beneficial.Bachelors or Masters degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or related discipline.Demonstrated ability to lead projects, mentor team members, and collaborate effectively across cross-functional teams.Strong problem-solving, communication, and documentation skills, with attention to model robustness, fairness, and compliance. .