Data scientists have been considered a rarity for many years, fighting for big companies.
Karl Hoods, Head of Information and Information Technology at the Corporate, Energy and Industrial Strategy Department, says companies are increasingly aware of the importance and value of data and increasingly need the right know-how.
To understand the tremendous amount of data collected on a daily basis, solving business problems, identifying trends, and making decisions for new ideas, we need people with a mix of statistics, fundamentals, data, Visualization, and data preparation capabilities.
This mix of skills is why data scientists are a rare breed. And the demand for them does not seem to disappear. According to a recent report from MHR Analytics Data Meat Analytics, 80% of UK companies are considering recruiting a data specialist this year or using data consulting.
Computing scientist with too many skills
The number of data, experts will increase over the next few years, but companies will look for people with more specialized skills. These include data science managers, data translators who can connect the data function to the enterprise, and scientists who specialize in domain data.
The separation of different types of scientific data may have occurred because current data professionals had to travel too far to tackle the questions they asked.
This can sometimes be an attempt to master both the technical and commercial understanding and the communication aspects of their role. The move to less sectoral and sectoral scientists are likely to be a development that should take place anyway, as the role has become too tense.
Future data scientists need to become more specialized
Data Scientist is a collective term. We'll see more specific career paths evolve, but the bubble around data science and engineering skills is not done yet.
The technology will give these professionals more skills, but that does not mean that their roles will be eliminated in the next few years. It simply means that the overall level of data literacy will improve for all employees, while others will understand better how to make better use of the data.
Finally, this can be concluded as future data professionals can, therefore, be more specialized and tackle the most critical and complex challenges that help their businesses achieve breakthrough breakthroughs.