Talent Scientist

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 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 o...

As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so ...

An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
Experience of hiring talent in the technology or consulting industry.
A highly data drive 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/appreciation 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: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
Psychometric validity and reliability metrics.