- B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science)
- 1-3 years of relevant analytical experience in Model development, ML modeling, Forecasting, Segmentation, and Clustering.
- Preferred Coding languages: SAS, SQL, R, Python
- Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing
- Experience in handling huge databases and the ability to do root cause analysis
- Individual contributor with the capability to deliver projects within the timeline
- Effective verbal and written communication skills

