The global oil and gas industry experienced a 5% rise in new job postings related to artificial intelligence in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Artificial Intelligence in Oil & Gas – Hiring Activity in Q3 2022. This compares to a 64% increase versus Q3 2021.
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Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 10% share of the global oil and gas industry’s artificial intelligence-related total new job postings in Q3 2022, down 9% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 10%, emerged as the top artificial intelligence-related job roles within the oil and gas industry in Q3 2022, with new job postings drop by 9% quarter-on-quarter. Data Scientists came in second with a share of 8% in Q3 2022, with new job postings rising by 26% over the previous quarter.
The other prominent artificial intelligence roles include Database and Network Administrators and Architects with a 4% share in Q3 2022, Biological Scientists with a 4% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Koch Industries, BASF, Shell and Hera. Together they accounted for a combined share of 19% of all artificial intelligence-related active jobs in the oil and gas industry.
Koch Industries posted 230 artificial intelligence-related new jobs in Q3 2022, BASF 226 jobs, Shell 161 jobs, and Hera 144 jobs, according to GlobalData’s Job Analytics.
The largest share of artificial intelligence-related new job postings in the oil and gas industry in Q3 2022 was in the US with 40% followed by India (11%) and Italy (11%). The share represented by the US remained flat over the 40% share it accounted for in Q2 2022.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
