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Will Data Science Be Automated?
AutoML, no-code/ low-code tools, and big data platforms have become increasingly popular in the last few years. Many people believe that the advances in these tools will replace much of the work that data scientists currently do.

In fact, new tools could make data science work more valuable. Tools that allow us to explain insights more easily to stakeholders would be a godsend. While I don’t think new technologies will diminish the need for data scientists, I do think that the role of the data scientist will probably change. Rather than investing large amounts of time training models (a task that AutoML does pretty well), I think data scientists of the future will be spending more time doing 3 things:

1.Focusing on exploratory analysis (a task that I think AutoML can struggle with)

2.Explaining how the models create value for the business (essentially taking on a more consulting-oriented role in the business)

3. Implementing these models (something closer to what a machine learning engineer does)
Will There Be Data Science Jobs in the Foreseeable Future?
according to the U.S. Bureau of Labor Statistics (2021), the data science and computer information research field is expected to grow by 22% from 2020–2030 which is triple the rate of the average profession.

Full article https://towardsdatascience.com/is-data-science-dead-in-10-years-3cde3963552