We are seeking a PhD graduate (or close to completion) who will be responsible for the development and integration of machine learning models which match candidates to roles with HR GO's clients; leveraging the millions of datapoints collected by HR GO to embed within HR GO's systems ethical and transparent scoring, so that candidates can understand their progress towards and likelihood of achieving their next job.
The KTP will mainly focus on developing a Machine Learning model which will power the job matching and recommendation engine within HR GO's 'Candidate Account' web application. The model will be designed and implemented so that it can be used by multiple areas of the HR GO business.
This is a unique opportunity to work at HR GO and to engage with significant technical and commercial challenges. HR GO operates in the Staffing Industry and their revenue generating activities are the placing of candidates into temporary or permanent employment. In addition to placing candidates, HR GO provides both candidates and clients with online platforms to support their work. These may include facilities to manage timesheets, management information, onboarding, checking billing information, and ordering.
Key Accountabilities / Primary Responsibilities
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