The Future Data Scientist Will Have A More Specialised Skillset

As data science continues to evolve, the future data scientist may well look very different also. Right now, talented data scientists are rare and extremely coveted, mostly due to the diverse and subsequently unique skillset that companies are looking for.

“In trying to make sense of the vast amount of data gathered on a daily basis and use it to solve business problems, spot trends and make decisions to support new ideas, we need people with a mix of statistics, databases, data visualisation, machine-learning, coding and data preparation skills,” explains Karl Hoods, chief digital and information officer at the Department for Business, Energy and Industrial Strategy

Are Data Scientists becoming too stretched?

Data Expert and Author Bernard Marr said that as the number of data science professionals increases in the next couple of years, companies will be looking for more specialised skill sets.

The separation of different types of data scientists is already occurring due to data professionals being burdened with extreme workloads, mainly due to the current skills gap.

The future data scientist will have a more sector-specific skill set and less generalised because currently, the role suffers from too broad a remit according to Iain Brown, head of data science at SAS UK and Ireland.

This not to say that a future data scientist will need to have domain knowledge. Data is still data whether its a charity or a huge multinational.

It’s more important for employers to find data scientists who are able to harness their unending curiosity coupled with a logical and creative mind, and a background in making a quantifiable impact on their business,” says Caroline Carruthers, a former data leader at Network Rail and Lowell

The Future Data Scientist Will Have More Support.

Big data and artificial intelligence as a whole will inevitably completely transform the average workplace. This will lead to employees at all levels of a company becoming more data literate. This is a challenge for business leaders already as they are faced with training their staff for a future where machines augment work and create new job roles.

It is vital that companies ensure every employee is able to understand, analyse and interrogate data. Building technologies that generate vast amounts of data are pointless without data literate employees.

So as data literacy across the workplace increases, the burden placed on data scientists will subsequently lessen. Allowing for the future data scientist to be even more specialised, tackling the most business-critical and complex challenges that will help their businesses make revolutionary leaps forward.


Get the Alldus Advantage

Alldus International covers your business consulting, staffing and networking needs across the United States and Europe. Alldus can help you discover how Data Science and AI can transform your company with an unrivalled network of C-Suite executives and Senior AI Professionals.

Become a member of the Alldus community and enjoy and enjoy our AI Meetups. Once a month our community gathers to hear from some of the leading experts in the world of Data Science and AI. Our speakers come from all over the world including Dublin, Boston, New York and Berlin.

We also have the AI Mentors podcast where our experts will provide mentoring to Alldus members and of course, the AI in Action podcast where each week we have guests from all over the world talking us through their education, career and more.

Become an Alldus member and get the Alldus advantage by signing up to our newsletter below.</e