The 2020 update: Top tech jobs and workplace trends

What are the emerging tech jobs of 2020 and how do companies create a strong employee experience to retain the right talent?

Technology is evolving at unbelievable speeds. Artificial Intelligence and machine learning trends have been adopted into a record number of regions, industries and verticals; there's been an explosion of IoT devices and technologies, and 5G networking is showing no signs of slowing down. The world is keeping a close eye on the developments coming out of the tech industry. But the question that should be asked at this point is not what the next disruptive trend is, but instead who will be responsible for managing these trends? And how do companies prepare for retaining the right talent for these emerging tech jobs?

There is a growing demand for tech talent that can manage and oversee these new technologies and businesses are trying their best to attract and retain the right people for the job. They have to make sure they can create employee experiences that boost productivity, and only then will organisations be able to focus on growth and innovation. Here is a look at some of the most in-demand tech jobs for 2020:

Artificial Intelligence Specialist

LinkedIn's annual 2020 Emerging Jobs Report for the US reveals that the hiring growth for this role has grown 74% annually in the past four years. This is because enterprises are realising the value of artificial intelligence and machine learning, and many have already started their journey of automating processes. There is a variation of job titles and roles advertised within this field but most are focused on the same set of skills, which include knowledge of mathematics, algorithms, probability and statistics as well as basic expertise in programming languages. 

Data Scientist

With the push for data-driven insights and adoption of automated tools, data scientists with the right skillset are set to earn an average salary of $125,250. Data has become one of the most valuable assets of an organisation, and data scientists are the ones who create meaning from this raw data. They are responsible for extracting, analysing and interpreting large amounts of data from different sources. Data scientists can then use this newfound understanding to help enterprises build AI and machine learning tools that can automate tasks or processes.

Robotics Engineer

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