Data scientists. Every enterprise wants more of them, the biggest tech companies in the world are throwing money at them straight out of university, and demand shows no sign of tapering off.
As companies generate ever-greater volumes of business, operations and IoT data, the demand for people that can make sense of that information and present it back to the business to improve efficiency, and even create whole new revenue streams, is naturally appealing to a modern day enterprise.
This is especially important with the rising interest in machine-learning algorithms and the value they can deliver to a business, so data scientists with experience running machine learning projects come at even more of a premium.
Here we run through what a data scientist can bring to an organization, what tools they are using, how to hire them and some examples of the results a good data science team can bring to real-life enterprises such as GE Digital and the NHS.
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