We are looking for an individual to assist us in a proof of concept involving AI and snowflake.
We have data on roughly 160 million transactions that goes back years. Using this transactional data, we want to identify if there are any precursors or indicators of an account that is going to close or are in danger of closing. We think this could be done by analyzing transactions of previously closed accounts to find commonalities.
An example, an account that has regular, recurring transactions that abruptly stop. Or certain transactions that are ran daily that stop.
We are looking for a quick proof of concept to see how this would work and how effective it could be in helping to predict account closure.
The data is private and cannot be accessed. We want someone to help us for me consultative basis on how to get started and the best approaches to try to start accomplishing this. We could provide some limited data in a sanitized form if needed.
This job is already closed and no longer accepting applicants, sorry.
