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Machine learning hiring levels in the power industry rose in April 2022

Machine learning hiring levels in the power industry rose in April 2022

The proportion of energy industry operations and technology companies hiring for machine learning-related positions increased in April 2022 compared to the equivalent month last year, with 35.7% of companies included in our analysis recruiting at least one position.

This latest number was up from 26.5% of companies that were hiring in machine learning-related jobs a year ago, and an increase compared to 33.6% in March 2022.

When it comes to the rate of all job postings being linked to machine learning, relevant job postings held steady in April 2022, with 0.8% of newly posted job postings tied to the topic.

This latest figure was the lowest monthly figure recorded in the past year and is down from 0.9% for newly advertised jobs tied to machine learning in the equivalent month a year ago.

Machine learning is one topic that GlobalData, from which our data is taken for this article, has identified as a major disruptive force facing businesses in the coming years. It is now believed that companies that excel and invest in these areas are better prepared for the future business landscape and better equipped to face unforeseen challenges.

Our analysis of the data shows that energy industry operations and companies are currently recruiting for machine learning jobs at a lower than average rate for all companies within GlobalData’s job analytics database. The average among all companies was 1.3% in April 2022.

GlobalData’s job analytics database tracks the daily hiring patterns of thousands of companies around the world, charting jobs as they are posted and tagging them with additional layers of data on everything from seniority for each position to whether the job is related to broader industry trends.

You can keep track of the latest data from this database as it appears by visiting the live dashboard here.



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