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Data scientist contra information analyst: difficulty reigns

The information scientist position is mostly suspicion of as being a origination of a large information age, and graphic from a roles that went before it. In many organisations, and in a minds of many recruiters, a distinctions are not so clear, however. Not surprisingly, perhaps, given that information scientists can authority a extremely aloft salary, there has been copiousness of oblique CV tweaking going on as analysts find to stratagem themselves into a information scientist bracket.

In a prior investigate programmes Computing has found that a information scientist is more expected to be looking during what will happen, rather than what has happened. They will be some-more exploratory in their user of information and will go into some-more depth, experimenting to expose correlations and trends for serve analysis, or to come adult with engaging new commentary that nobody has suspicion of before. They also need a note that brings them into daily hit with a business so that they do not turn removed and their projects irrelevant. 

While a researcher purpose is also changing in line with advances in analytics record and a appearance of some-more information centric business transformations, their purpose is generally still deliberate as pierce concerned with chronological information in a classical BI fashion.

However, a latest investigate in this area threw adult a few surprises. Asked to select a tip attributes for information scientists and information analysts, respondents comparison knowledge in real-time analytics second usually to display skills. Real-time analytics is one of a fields that we would have suspicion to be resolutely in a information scholarship camp. Likewise, appurtenance training models, another information scholarship staple, were high on a list for information analysts during series four, yet approach down on a information scientist priorities during series 15.  The tip 5 for any purpose are shown below.

Data scientists

  • Able to remove insights from opposite forms of data
  • Able to brand a problem and find a solution
  • Able to consider creatively regulating data
  • Understanding a business
  • Delivering insights formed on new data

Data analysts

  • Presentation skills
  • Experienced in real-time analytics
  • Able to work in multi-disciplinary teams/collaboration
  • Able to build a appurtenance training models
  • Understanding a business

In a after stages of a investigate we will be seeking a series of CIOs to appreciate these findings, in wish of enlightenment. It could be for example, that a respondents placed aptitude above skills and collection in their assessments – a tip 5 attributes for information scientists positively tumble into this category.

For now though, these formula have us scratching a heads. Whatever they mean, they are another pointer that when it comes to a information researcher and information scientist roles – difficulty reigns. 

Full formula of a investigate will be presented during a Big Data IoT Summit in May (see below).


Computing Big Data and IoT Summit logo

Computing’s Big Data IoT Summit 2017 and a Big Data IoT Summit Awards are entrance on 17 May 2017. 

Find out what construction hulk Amey, Lloyds Banking Group, Financial Times and other large names are doing in large information and a Internet of Things. 

Attendance to a Summit is free to subordinate comparison IT professionals and IT leaders, yet places are particularly limited, so request now. 

AND on a same day, Computing is also unapproachable to benefaction a Big Data IoT Summit Awards, too. See a finalists – and secure a list for your group during a Awards – now



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