Talent Scientist

About the role

The Talent Science team ensures that hiring processes are effective, objective, and scientifically rigorous to select exceptional talent globally. As a Talent Scientist, you will partner with Hiring Leads to drive initiatives, automation, and best practices in talent assessment and performance. This role focuses on the science of talent, providing data-driven insights to improve hiring outcomes across the organization.

Responsibilities

• Drive talent analytics to provide real-time insights and support efficient hiring processes.
• Conduct in-depth behavioural talent interviews to provide insights into motivations and behaviours.
• Build relationships with global stakeholders to monitor hiring activities and ensure operational consistency.
• Drive data-driven insights to ensure robust and supportive decision-making processes.
• Review and streamline hiring processes and tools to drive continuous improvement.
• Work with external third parties and platforms to maximize return on investment.

Required skills

• Behavioural interviewing
• Psychometric assessments
• SQL
• Statistical analysis
• Python
• Data analysis

Nice to have

• Sourcing
• Headhunting
• Statistical significance testing
• Bayesian inference
• Predictive analytics
• Machine Learning
• LinkedIn Talent Insights
• Greenhouse
• DISC profiling
• Superset

Qualifications

• Bachelors or Masters degree in a Psychology based subject

Benefits

• Performance-driven annual bonus
• Personal learning and development budget
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Priority Pass
• Travel upgrades

About the Company

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, they are changing the world on a daily basis.