×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Talent Scientist - Graduate Lead

Remote / Online - Candidates ideally in
Makkah Region, Saudi Arabia
Listing for: Canonical
Remote/Work from Home position
Listed on 2026-01-17
Job specializations:
  • HR/Recruitment
    Talent Manager
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Overview

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent.

This is an exceptional opportunity to join a team that is changing the way an organisation hires.

We have a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with a carefully selected hiring cohort to ensure we have exceptional judgement with a hiring model that supports the selection of world class talent, regardless of location, culture or background.

We drive initiatives, build automations and offer an expert viewpoint on assessing talent.

We are looking to advance our graduate hiring strategy to ensure we can reach and assess world class junior talent. The role will focus on building strong partnerships with top ranked universities across the globe. The suitable individual will bring experience of leading graduate hiring on a regional or global scale within the technology industry. You will possess a strong academic track record with the ability to analyse data, assess performance outcomes and build dashboard to monitor your outcomes.

This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.

Location:

This is a remote position based in the EMEA region

Responsibilities
  • Build effective partnerships with leading academic institutions to raise awareness of our graduate opportunities.
  • Create a highly effective proposition to inspire top talent to apply to Canonical.
  • Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
  • Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
  • Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
  • Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
  • Consider our employer brand and how our interactions with a candidate impacts their experience.
  • Review and streamline hiring processes and tools to drive continuous improvement.
  • Work with external third parties and platforms to ensure we maximise our return on investment.
  • Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
What we are looking for in you
  • An exceptional academic background from both high school and university, with a Bachelors or Masters degree in a Psychology or People based subject.
  • Experience of hiring talent in the technology industry, with an informed view point on graduate hiring essential.
  • A highly data drive mindset with the ability to create measurable outcomes, using SQL.
  • Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
  • Exposure/appreciation of psychometric assessments preferable, including interpretation.
  • Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
  • Experience of the following tools advantageous:
    Greenhouse, Linked In, Superset, Thomas International/DISC assessments.
  • A high level of personal organisation and self drive to work remotely and be effective.
  • Willingness to travel to company events 2-4 times a year, for up to two weeks each.
What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass, including lounge access, for company travel
About Canonical

Canonical is a pioneering…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary