Machine learning and data science driving the evolution of recruitment
November 2017 - In a new report launched by Hays today, ‘Recruitment Remodelled’ examines the evolution of the recruitment industry where the traditional human-centric skills of matching candidates with organizations are now working hand-in-hand with data science, machine learning, predictive analytics and other digital tools and technologies.
Alistair Cox, Hays plc CEO, says, “In my ten years as CEO of Hays, I have never seen the recruitment and staffing industry evolving as rapidly as it is today. Technology, the dynamics of the digital world, and the advent of data science and machine learning are fueling these changes.
“For business, the fundamental underlying issue of finding the best talent for their organization hasn’t changed, but what has evolved across our industry is how to manage this process in an age where technology has brought new ways of finding top-quality talent.”
The traditional approach to recruitment – defined by Hays as ‘Advertise & Apply’ – has relied upon organizations promoting their vacancies across multiple channels to solicit applications from jobseekers. This long-established model is no longer enough in today’s digital world as it is primarily directed at the active, rather than the passive, jobseeker community. In addition, the ease at which candidates can respond to online job advertisements has led to an unwieldy process with high volumes of responses being received, many of which prove to be unsuitable for the role.
A new recruitment model has been developed and deployed by Hays – defined as ‘Find & Engage’ – that combines the best practice recruitment techniques and established candidate relationships with the new opportunities presented by digital technology, data science and machine learning. This approach is designed to maximize the likelihood of organizations finding the best talent by enabling them to search beyond those active jobseekers, and reach deep into a much wider pool of passive candidates.
Alistair added, “There has always been a real art to recruiting the best talent, built around the development of trusted relationships and an ability to assess the compatibility of a candidate for the vacancy. However, recent significant developments in data, machine learning and digital technology allows us to now combine art and science to deliver better solutions, faster and at real scale.
“This digital world and our new ‘Find & Engage’ model is putting the relationship between a recruiter and a candidate back at the heart of recruitment. The value of ‘human touch’ in our industry cannot be overestimated and this will always be at the core of what we do. But the new technologies and data science we are pioneering enable us to evolve our processes and allow us to work at a scale that has not been possible before, ensuring we always find the very best candidates wherever they are, for our clients, enabling them to not only succeed but to flourish.”
To learn more about the report, click here.
About Hays US
Hays opened our first office in the United States in 2009, and in December 2014 we acquired Veredus, a Tampa-based IT staffing leader in contract and temporary roles. Now operating in the US as Hays, powered by Veredus, we are quickly being recognized as one of the leaders in specialist staffing, with 12 offices across the US to date and growing. Specialist divisions include Accounting & Finance, Construction, Property & Facilities Management, Information Technology, Life Sciences, Oil & Gas and Resources & Mining. Hays Specialist Recruitment US is a wholly owned subsidiary of Hays plc, which has been at the forefront of the global recruitment industry for over thirty-five years. With annual revenues of over £2.1 billion, Hays Specialist Recruitment is the largest specialist recruitment consultancy in the world. With corporate head offices located in the United Kingdom, the Group employs over 10,000 staff operating from 250 offices in 33 countries across 20 specialisms.
For more information please contact:
Marketing and Communication Team Lead, Hays North America