[quote]With a background in Accounting & Finance from LSE, I'll go out on a limb and say that you have no proper tech exposure.You think you can learn R, SQL and Hadoop in weeks? You think it's that easy? There are a lot of complementary things, e.g. Mongo, Cassandra, etc. You will need to understand Hadoop in a proper production environment, e.g. getting experience with Cloudera/Hortonworks . Do you know what OLAP is?Even CS grads would not have the skills needed to jump into a Data Scientist position, but you think you can?Don't get me wrong. Am not trying to be negative. Am just pointing out some uncomfortable truths.Here's what I'd suggest. Take a step back. Figure out what you want to do, taking into consideration your education background, interests, etc. You yourself admit that ACN is better placed in Analytics. Better brand name. Stay on with ACN. Learn as much as possible. See if you really like it. Then decide.I guarantee you that you'd be out of your depth if you jump into the Analytics deep end. [/quote]I think this is partly true but from my experience there is a division between data analytics and data science. Whilst there isn't a set definition, data science has more technical knowledge required than analytics. Whilst both areas require statistics, data science relies heavily on the programming element to execute the analytics.If you are attempting to enter data science, then I would absolutely advise against it. If you are entering analytics and have some technical background in mathematics/ statistics which I am sure you do give the lse name, I think you can do very well. I would also advise you try some programming if you haven't already, to see if you like it. Even though you may not use it as heavily compared data science, it may provide an observation of skills you can develop in the future. It would also be good to know if you have done any financial modelling in your degree using something like pyhton. The outcome of that may help formulate a decision for your move.