Data Scientist

Role: Machine Learning Data Scientist\nExperience: 4–12 Years\nDomain: Banking / Financial Services\nLocation: Hybrid (Gurugram)\nJob Summary\nWe are looking for an experienced Machine Learning Data Scientist with strong expertise in predictive modeling, statistical analysis, and banking analytics. The candidate will be responsible for developing, validating, and deploying machine learning models to solve complex business problems across risk, fraud, customer analytics, lending, collections, and marketing functions.\n\nKey Responsibilities\nDesign, develop, and deploy machine learning models for banking use cases.\nAnalyze large structured and unstructured datasets to identify business opportunities and risks.\nBuild predictive and classification models using advanced ML algorithms.\nPerform feature engineering, model tuning, validation, and performance monitoring.\nCollaborate with business stakeholders, product teams, risk teams, and technology teams to translate business requirements into analytical solutions.\nDevelop model documentation and support model governance requirements.\nPresent insights and recommendations to senior stakeholders.\nWork on end-to-end ML lifecycle including data extraction, preprocessing, modeling, deployment, and monitoring.\nEnsure compliance with banking regulations and model risk management standards.\nQualifications\nBachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, or related field.\n4–12 years of experience in Data Science, Machine Learning, or Advanced Analytics.\nExperience working in Banking or Financial Services domain.\nStrong statistical and analytical problem-solving skills.