Data Modeler II

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

Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.

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, Pyspark or 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

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