Talent Scientist

Talent Scientist

Remote (EMEA region)

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.

Our Talent Science team has 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 our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.

• Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
• Strong behavioural interviewing techniques (competency based and psychometric assessments).
• Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
• An exceptional academic background including a Bachelor or Master degree in a Psychology based subject.
• A high level of personal organisation to work remotely and be effective.

• 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.

• An exceptional academic background from high school and university, with a Bachelor or Master degree in a Psychology based subject.
• Experience of hiring talent in the technology or consulting industry.
• A highly data‑driven mindset with the ability to create measurable outcomes.
• Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
• Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
• Exposure/apreciation of psychometric assessments, 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.
• 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.

• Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
• Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
• Exposure to the following tools:
  Linked In Talent Insights, Greenhouse, DISC profiling, Superset.
• Psychometric validity and reliability metrics.

• Distributed work environment with twice‑yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recogni…