What are the most challenging projects yoat lloyds we have in software and data science?

Hi Joao, thank you for your question! I think one of the unique challenges in both software engineering and data science are coming from the sheer scale of the business. We are one of the biggest banks in the UK which means that in almost every household someone is using one of our products or services. This means we have access to a vast amount of data and we have customers from a wide range of backgrounds with differing needs, so we have to be mindful of this when developing digital products.

This is exciting! I guess this would be why it is useful to know SQL / Pandas for the role? I am also interested in knowing what is the vision for the future of cloud services at Lloyds

It is of course useful to know any of the more widely used technologies, but you'll also have the opportunity to learn some new ones and with a wide range of different teams using different tech stacks whatever you're interested in chances are that someone is already using it :) Cloud is becoming increasingly important for us and lot of the legacy applications are being rewritten following a microservices architecture so that they can fit into a more cloud native development pattern. We're also using some machine learning and big data tools available through cloud services.

Ah that is great. I am wondering how machine learning is used at LLoyds? Is it focused more on forecasting problems or are there more applications?

Forecasting is definitely one of the areas but there are also others. LLMs are used in the call centres as another example that comes to mind.

Ah, of course chatbots - that makes sense. Would be nice to see a lloydsGPT! Thank you!