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Graduate Talent Scientist

Canonical
Posted April 22, 2025

Internship

Job Description

The role involves supporting the Talent Science team at Canonical by learning to assess candidates, implementing hiring strategies, and contributing to data-driven talent acquisition processes in a remote environment. Candidates should have a psychology-based degree, analytical skills, and a passion for technology and talent assessment.

Responsibilities

  • Learn to assess candidates using behavioural interview techniques
  • Gain appreciation of psychometrics in the workplace
  • Work on process and documentation efficiencies for hiring practices
  • Contribute to projects that drive successful hiring outcomes using advanced analytics
  • Build stakeholder relationships to design and implement hiring solutions
  • Understand systems and platforms to support hiring questions
  • Provide ticket support and resolve company channel questions

Requirements

  • Possess a psychology based degree with an exceptional academic track record from high school and university.
  • Bring relevant experience from the field of talent, either from university coursework relating to talent selection or from an internship or first job in a talent team.
  • Demonstrate advanced analytical ability to dissect and analyse data using SQL, Python, and/or R.
  • Have professional written and spoken English with excellent presentation skills.
  • Ability to travel internationally twice a year for company events up to two weeks long.
  • Demonstrate a passion for working in the technology space with evidence to support this.

Benefits

  • Compensation/salary range
  • Performance-driven annual bonus or commission
  • 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 and travel upgrades for long haul company events
  • Distributed work environment with twice-yearly team sprints in person

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