Analytics & Clustering Role - Customer Segmentation - Bank

Customer Segmentation Analytics and Clustering- Largest US Bank

- Should have strong hands-on experience(at least 3+ years of relevant exp.) in analyzing data, extracting insights, preparing stories, recommending business the suitable solutions/strategy.

- Demonstrated experience in Analytics and ML applications (K-means, XGB, CART, Logistic Regression). Experience in clustering / segmentation projects is a plus.

- Good problem solving skills, combined with the ability to synthesize and effectively communicate findings inside the D&A team and other stakeholders

Technical Skills Required :

- SQL (at least 4 years of hands-on exp.)

- Python (at least 2 years of hands-on exp.)

- Excel (intermediate to advanced knowledge)

- Data Wrangling (at least 3 years of hands-on exp.)

- Data Visualization (beginner to intermediate)

Experience in at least one of the following required : Credit Cards, Personal Lending, Home Lending or Deposits/Investments.