​The term "Data scientist" is a relatively new phenomenon, however according to Harvard Business review it’s the sexiest job of the 21st Century. Organisations need to stay on top of their data, meaning there's a strong demand for the best data scientists, and industries are therefore offering handsome pay packets to get the cream of the data crop.

Data science is big business. It’s about transforming data into business value with the aid of complex algorithms and machine learning techniques.

If you’re an individual fortunate enough to possess a degree in statistics, machine learning or computer science, how can you now become a Data scientist and get hired?

The challenge is, that to be a Data science superstar, you’ll almost certainly need to have a long list of skills. Integral to the role is being able to hold the analytical capabilities of a scientist whilst having the business expertise of an executive. You’ll also need to ask the right questions to get the most from your data and the business as a whole.

Microsoft cites a Data Scientist as “representing an evolution from the business or data analyst role. The formal training is similar, with a solid foundation typically in computer science and applications, modelling, statistics, analytics and math.”

Many companies are demanding Data scientists (especially those that rely on social media streams, consumer data or crunching large data sets) to apply advanced statistical modelling techniques to make discoveries about business problems.

The data field has rapidly evolved with scientists taking businesses in new directions, solving complex algorithms and developing world first processes. This evolution in data coupled with the range of skills that data scientists possess makes the role of a DS exciting, challenging and totally relevant to the digital age.

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