Job DescriptionRole Overview We are looking for a Data Scientist to design, develop, and deploy machine learning solutions that solve business problems. The role involves working across the ML lifecycle — from data analysis and feature engineering to model development, evaluation, and productionisation. Experience Range: 2 – 4 Years of professional experience Department / Domain: Data Science & Analytics (Fintech / Risk / Fraud preferred) Employment Type: Full-Time / Permanent Responsibilities ● Develop and deploy machine learning models for classification, regression, and other predictive analytics use cases. ● Apply strong understanding of machine learning algorithms including Logistic Regression, Decision Trees, Random Forests, Gradient Boosting models (XGBoost), Ensemble techniques, and Neural networks / deep learning approaches where applicable. ● Perform feature engineering, including data preprocessing, encoding, missing value treatment, feature transformations, and creation of meaningful business features. ● Analyse large datasets to identify patterns, generate insights,



and build data-driven solutions. ● Evaluate model performance using appropriate metrics such as AUC, Precision-Recall, F1, KS, Gini, and PSI. ● Handle real-world ML challenges including class imbalance, model calibration, data leakage, and model performance monitoring. ● Build scalable and production-ready ML solutions and collaborate with engineering teams for deployment. ● Document models, including objectives, data inputs, performance metrics, and limitations. ● Stay updated with advancements in machine learning and apply relevant techniques to business problems. Required Skills & Qualifications ● Experience building, improving, and independently scaling machine learning models. ● Robust foundation in machine learning concepts, statistical frameworks, and model optimization. ● Hands-on mastery of Python (pandas, numpy, scikit-learn) and SQL databases. ● Advanced feature engineering capabi

📌 Data Scientist (Bengaluru)
🏢 Super Money
📍 Bengaluru