The demand for the knowledge and skills of blockchain and artificial intelligence is increasing rapidly. This is evident from the LinkedIn 2018 Emerging Jobs Report that the business social network has recently published. The report maps out the fastest growing functions in the past five years.
Guy Berger, chief economist at LinkedIn, commented to ZDNet that, according to him, the demand for technical skills goes beyond that alone. There would also be a demand for profiles that can be used productively by blockchain and AI: AI may be on the rise, but it can’t replace the power of people. Basic operational functions, such as administrative assistant, insurance and sales staff, also represented places on the emerging jobs list.
According to Berger, this is about the demand for soft skills, such as oral communication, leadership and time management. These skills cover half of LinkedIn’s list of skills with the biggest skills gaps.
Fastest growing features
According to LinkedIn, the functions and associated skills, which have been growing fastest since 2014, are the fastest:
- Blockchain developer (33x), for which required knowledge of: Solidity, blockchain, Ethereum, Cryptocurrency, Node.js
- Machine learning engineer (12x), for which required knowledge of: deep learning, machine learning, Tensorflow, Apache Spark and natural language processing.
- Application sales executives (8x), for which required knowledge of: Software as a Service (SaaS), cloud applications, human capital management, enterprise resource planning and solution selling.
- Machine learning specialist (6x), for which required knowledge of: machine learning, deep learning, Tensorflow, Python and AI.
- Professional medical representative (6x), for which required knowledge of: pharmaceutical sales, sales effectiveness, product launches, medical devices and gastroenterology.
- Relationship Consultant (5.5x), for which necessary knowledge of: banking, retail banking, loans, consumer Lending and Credit.
- Data Science Specialist (5x), for which required knowledge of: machine learning, data science, Python, R and Apache Spark.
- Insurance employee (5x), for whom required knowledge of: auditing, accounting, financial reporting and internal controls.
- Sales Development Representative (4x), for which required knowledge of: Salesforce, cold calling, Software-as-a-Service, lead generation and sales prospecting.
- Business Support Consultant (4x), for which required knowledge of: risk management, credit, banking, business analysis and business process.
- Solar Power Consultant (4x), for which required knowledge of: solar energy, renewable Energy, Sales, Business Development and Marketing.
- Administrative assistant (4x), for which required knowledge of: receptionist duties, administrative assistant, data entry, office administration and Microsoft Office.
- Background Investigator (4x), for which required knowledge of: investigation, background checks, private investigations, law enforcement and criminal justice
- Machine Learning Researcher (4x), for which required knowledge of: deep learning, machine learning, Tensorflow, Python and algorithms.
- Data Science Manager (4x), for which required knowledge of: data science, machine learning, Apache Spark, Python and R.
Related: Massively downloading email addresses via LinkedIn is no longer possible just like that
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