Applying for Jobs

Getting past the Robots…

Technology called Semantic Intelligence is used to calculate a score for CV’s submitted on-line.

This ranks the relevancy of information provided, matching keywords and qualifications against the key skills and competencies stated within the job description.

A parser screens the document and analyses sentences with weightage assigned to different parts of the CV including job descriptions, education and qualifications. The parser removes styling and breaks down text into recognised words and phrases which are matched against the employer’s desired skills and experience.

Learning to speak PC...

In these days of internet job search, a CV is more likely to be short-listed when containing keywords.

Review on-line job ads and look for recurring words used to describe the responsibilities of the job and the skills required. Note essential and desirable skills, experience and personal qualities stated.

Keywords should be used in context of a well presented CV which will ultimately be reviewed by a human!

Place keywords early within the CV. If it’s not ‘front-loaded’ then the chances of the search engine finding them are diminished.

User friendly Interface...

Keep it simple...

Use bullet points to describe work experience.

CV screeners have great difficulty in separating long sentences and resourcer’s often have limited time to locate the key skills and experience they seek within the document.

Avoid fancy styling and photographs while these formats are often corrupted on receipt.

Summary...

Read the job description and person spec!!!

Use bullet points to describe work experience.

CV screeners have great difficulty in separating long sentences and resourcer’s often have limited time to locate the key skills and experience they seek within the document.

Avoid fancy styling and photographs while these formats are often corrupted on receipt.