Some IT departments may struggle to find one person that fits that bill, which is why many of them are creating teams of data scientists within their organisation.
"Ideally, that team should include a combination of analysts, business users, developers and marketers," offered Dunleavy.
There is massive demand, but not enough people with experience.
This is a view partially shared by Nick Halstead, chief technology officer and founder of social media analytics firm DataSift.
He said, rather than concentrate on recruiting graduates to fill the data scientist position, many firms will already have the skills they need in house.
"There is massive demand [in the IT jobs market], but not enough people with experience. However, there is an opportunity for existing business-orientated functions to take on a wider role [as data scientists]," explained Halstead.
"For example, web analytics specialists have a mix of skills that could be used [to fill the role] of a data scientist in the enterprise."
The financial services industry is also a rich hunting ground for candidates that fit the data scientist profile, claimed Halstead.
"The banking industry was one of the first industries to realise the benefits for big data and data science, and it has become a breeding ground for the skills needed to analyse and understand both data trends and business impact," he said.
"The collapse in the financial services market means that the UK is in a strong position to take the skills from that sector and apply those to big data problems in any industry."
