Data Science Accelerator
Department: Third Party Data Services Management
I wrote programs that verified heritage SunTrust metadata against Truist metadata catalogs to ensure that Truist had access to all of SunTrust's data and that nothing was forgotten (ie recurring invoices that were still being paid but not used by Truist). I identified any invoices that had been forgotten or omitted and communicated them with my team. I also wrote code that projected how long it would take to complete certain tickets based off the ticket data elements using a machine learning model.
Really enjoyed it, learned a lot, everyone was very nice and highly recommend
Lots of learning, never did data science or machine learning before. Team was all very, very friendly and Truist had a lot of really engaging activities for interns (like round table sessions with executives). Team was patient with me as I learned
Not always work, but plenty of stuff to do to keep occupied
Impact of work
Time spent working
How did working remote affect your experience?
Not a problem. Truist sent me my laptop, and although the first week had some technical difficulties, the rest of the experience was seemless. Truist had plenty of events that I was able to attend remotely via WebEx
How did you find the job / apply?
What would you say is the biggest threat to the banking industry today? What is multicollinearity? What is the difference between Type I and Type II errors? What is a null hypothesis? What is a confusion matrix? How would you go about visualizing data for someone without a technical background? Lot of statistical questions, lot of finance questions, a few technical programming ML type questions
Advice on how to prepare
I bombed the first round interview (they asked me three technical questions and I only knew one). There were questions that I had never heard of before and I told them that I was unfamiliar. Being honest and not trying to BS is good.
More questions? Send the reviewer a message!