Job description We are looking for a Sr. Data Modeler to help us unlock our vast amounts of data with effective modelling and advanced analytics, helping us make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre-sales and analytics to ensure optimal product creation. Ideally suited to someone who has 5 to 8 years' experience core analytics function of a large bank / consulting firm and with experience on handling large data volumes using data analysis tools and generating good data insights. What you'll need to bring along (Your prior experience)Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN. Knowledge of different modelling frameworks like Linear Regression, Logistic Regression,



Decision Tree Decent understanding and hands-on of statistical modelling/data analysis tools especially Python and SAS and market trends Applied statistics skills, such as distributions, statistical testing, regression etc. Understanding of decisioning and portfolio management in banking and financial services would be added advantage Understanding of credit bureau would be an added advantage What you'll do (Job responsibilities for this role)Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client. You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution You will use analysis and customer insights to develop value propositions for customers More about you (Skills we are looking for)We are looking for someone who: Is a consultative business professional Is transparent and certain Experienced to partner

📌 Senior Data Modeler (Mumbai)
🏢 Experian India
📍 Mumbai