What are the positives and negatives surrounding this kind of job?

A recent report has found that data scientists are experiencing an increase in demand by around fifty percent within healthcare, entertainment and banking.

With the disruption of the Covid-19 era, projects were stalled but now businesses will not wait any longer. The explosion of those roles versus the available talent in the marketplace has meant that it is a seller’s market. On top of that, companies are looking more and more to automation and AI to stave off any problems in the future, whether it is because of a fear of a continuation of Covid-19 or a similar pandemic. Add to this the popularity of Cloud data and you have the perfect conditions for data science becoming a popular career for people to look toward.

Careers in data take real commitment and determination. You must be a passionate problem-solver with great organisational skills.

Some industries (like the finance industry) were quick to understand the uses of using data to predict future events, while other industries are in their fledgling stages, still coming to terms with how much data they already have access to and what to do with it to positively impact their future endeavours.

Along with data being among the top occupations expecting growth, over 2/3 of companies are planning on increasing their data priorities into the next year and the growth areas include Cloud, Biz Intel, Dev Ops and cyber security. There is, however, a fly in the ointment of those plans, and that is the availability of those professionals who are needed to make that a possibility. There are amazing possibilities for those who are interested, but is it really all it seems to be?

So what things would turn someone away from pursuing a career in Data Science? Well, there is definitely a degree of confusion surrounding data. The role can vary greatly from company to company even if the job description seems the same. They could require a ‘clicker’ or a ‘coder’ or something in between. There is no codified definition of a data scientist so you are at the mercy of whoever writes the JD as to whether it matches what the role will actually entail. Having said that, if you are the type of person who doesn’t check the card in the chocolate box before you choose a chocolate, it may be the role for you.

A prospective data scientist also needs to learn a lot, keep learning and keep up-to-date with data laws regarding personal data. If you are willing to do that, you will reap a handsome reward and there are great job prospects. Right now, data scientists are in so much demand and are being chased by many companies that they are able to be choosy when it comes to which role they select. The onus is on the firms to sell themselves, rather than the other way around.

The positives are that it is very likely that you can work from anywhere and you will be paid well for your time. A lot of businesses are beginning to understand the ways in which correctly-utilised data can impact their future, so those moving into these roles will be more likely to make a difference than their predecessors. Burtch Works found that data science roles were market resilient, actually increasing during the pandemic, whereas other roles were not so lucky.

As we mentioned before, Cloud data analytics is definitely growing and firms are moving away from expensive and bulky servers towards a more stream-lined and collaborative workflow. These kinds of innovations require savvy experts and as there is already a shortage, it is certainly a sector that smart and capable individuals should seriously consider.

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