This archive report was first published on 14 November 2019.
As the job market continues to evolve, human resources professionals are being urged to adopt Big Data to help in the recruitment of the right staff. This was emphasized during a recent data science workshop held at Westlands, Nairobi, where HR professionals were advised to lead the way by getting the right training in using new recruitment methods.
Organised by big data firm Predictive Analytics (PA), the event highlighted how Artificial Intelligence, coupled with data science, can help HR departments dodge the hurdles that hinder corporate growth and contribute to a high employee exit rate. According to Timothy Oriedo, founder of PA, data analysis and coding in Python will be a key requirement by HR departments in the next four years.
“In the next four years, data analysis and coding in Python will be a key requirement by HR departments. Officers in this field need to adopt Big Data skills early enough,” stressed Mr Oriedo.
LinkedIn talent solutions manager for Africa, Stewart Samkange, advised personnel scouts to utilise the power of the social media platform to hire the right employees for the right job. He revealed that every second, two members join the platform, with 30 million companies registered, and 35,000 professional skills optimised for over 645 million users.
“Every second, two members join the platform. 30 million companies are registered, with 35,000 professional skills optimised for over 645 million users,” he revealed.
Barclays bank chief data officer, Hartnell Ndungi, warned HR panels against hiring candidates who have very attractive LinkedIn profiles without vetting them. He advised that corporates should scale up employees through internal training, using either decentralised, centralised or federated modes of on-the-job training.
“Don’t run on hype to hire people. 60 percent of data scientists who turned up for my interviews run on the hype of Big Data. They were unable to deliver the job obligations,” he advised.
