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August 29, 2022updated 28 Aug 2022 10:54am

Artificial intelligence vacancies in the ship industry were the hardest tech roles to fill in Q2 2022

We've analysed the length of time job ads were live online across the job market using GlobalData figures.

By Data Journalism Team

Artificial intelligence jobs took the longest to fill across tech roles in the ship industry in Q2 2022 according to Ship Technology’s analysis of millions of online job advertisements.

Artificial intelligence job ads at these companies were online for an average of 47 days before being taken offline during the quarter, meaning they took 16 days longer to fill than an average job at the same companies.

The figure for Q2 2022 was an increase compared to the equivalent figure a year earlier, indicating that the required skillset for these roles has become harder to find in the past year.

Artificial intelligence is one of the topics that GlobalData, our parent company and from whom the data for this article is taken, have identified as being a key disruptive technology force facing companies in the coming years. Companies that excel and invest in these areas now are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.

Cloud and mobile jobs took the joint second longest to fill on average at 33 days. This was among the tech themes tracked by GlobalData and which were linked to at least 100 job ads in the ship industry in each of the past five quarters.

The ship industry found it harder to recruit artificial intelligence jobs compared to the wider market, with ads online for 17.5% more time on average compared to similar jobs across the entire jobs market.

At the other end of the scale connectivity related positions were the quickest to fill in the ship industry in Q2 2022 with positions closing during that period having been online for an average of 30 days.

GlobalData's job analytics database tracks the daily hiring patterns of thousands of companies across the world, drawing in jobs as they're posted and tagging them with additional layers of data on everything from the seniority of each position to whether a job is linked to wider industry trends.

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