Applied Data Scientist

Applied Data Scientist Credit Risk (AI/ML) Location: Mumbai(Hybrid) Experience: 47 Years Employment Type: Full-Time Compensation: 18 to 20 LPA + Performance Bonus We're looking for an exceptional Applied Data Scientist to help build intelligent credit risk and lending solutions powered by Machine Learning, Deep Learning, and Generative AI. You'll work on next-generation credit decision engines, risk scorecards, fraud detection, portfolio analytics, and AI-powered lending platforms used at enterprise scale. If you're passionate about solving complex financial problems using data, statistics, and AI, we'd love to hear from you. What You'll Do Build production-grade Credit Risk, Behavioral, and Portfolio Risk Models. Develop Application Scorecards and Decision Engines. Design Probability of Default (PD), Loss Given Default (LGD), Expected Credit Loss (ECL), and IFRS9 models. Apply Machine Learning and Statistical Modeling to solve real-world lending challenges. Build scalable feature engineering and data pipelines. Develop explainable AI models with high business impact. Collaborate with Product, Engineering, and Business teams to deliver AI-powered financial solutions. Research and implement the latest advancements in Machine Learning and Generative AI. Required Skills Python SQL Pandas Scikit-learn XGBoost TensorFlow PyTorch Spark / PySpark Machine Learning Statistical Modeling Logistic Regression GLM PCA K-Means Clustering Credit Risk Modeling PD / LGD / ECL Basel II / IFRS9 Feature Engineering Model Validation Nice to Have Generative AI Large Language Models (LLMs) Agentic AI RAG Prompt Engineering RLHF Deep Learning NLP Responsible AI MLOps Model Governance Open-source contributions or published research Why Join Us Build AI-driven financial products used by thousands of businesses and customers. Solve high-impact problems in Credit Risk, Lending, and Decision Intelligence. Work with Machine Learning, Deep Learning, and Generative AI in production. Hybrid work with a collaborative engineering and data science culture. High ownership, rapid career growth, and continuous learning. Competitive compensation with performance incentives. Compensation & Benefits 1820 LPA (Based on Experience & Expertise) Performance Bonus Hybrid Work Model Learning & Certification Support Career Growth in AI & Data Science Applied Data Scientist Credit Risk (AI/ML) Location: Mumbai(Hybrid) Experience: 47 Years Employment Type: Full-Time Compensation: 18 to 20 LPA + Performance Bonus We're looking for an exceptional Applied Data Scientist to help build intelligent credit risk and lending solutions powered by Machine Learning, Deep Learning, and Generative AI. You'll work on next-generation credit decision engines, risk scorecards, fraud detection, portfolio analytics, and AI-powered lending platforms used at enterprise scale. If you're passionate about solving complex financial problems using data, statistics, and AI, we'd love to hear from you. What You'll Do Build production-grade Credit Risk, Behavioral, and Portfolio Risk Models. Develop Application Scorecards and Decision Engines. Design Probability of Default (PD), Loss Given Default (LGD), Expected Credit Loss (ECL), and IFRS9 models. Apply Machine Learning and Statistical Modeling to solve real-world lending challenges. Build scalable feature engineering and data pipelines. Develop explainable AI models with high business impact. Collaborate with Product, Engineering, and Business teams to deliver AI-powered financial solutions. Research and implement the latest advancements in Machine Learning and Generative AI. Required Skills Python SQL Pandas Scikit-learn XGBoost TensorFlow PyTorch Spark / PySpark Machine Learning Statistical Modeling Logistic Regression GLM PCA K-Means Clustering Credit Risk Modeling PD / LGD / ECL Basel II / IFRS9 Feature Engineering Model Validation Nice to Have Generative AI Large Language Models (LLMs) Agentic AI RAG Prompt Engineering RLHF Deep Learning NLP Responsible AI MLOps Model Governance Open-source contributions or published research Why Join Us Build AI-driven financial products used by thousands of businesses and customers. Solve high-impact problems in Credit Risk, Lending, and Decision Intelligence. Work with Machine Learning, Deep Learning, and Generative AI in production. Hybrid work with a collaborative engineering and data science culture. High ownership, rapid career growth, and continuous learning. Competitive compensation with performance incentives. Compensation & Benefits 1820 LPA (Based on Experience & Expertise) Performance Bonus Hybrid Work Model Learning & Certification Support Career Growth in AI & Data Science