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- Tasks: Evaluate AI and psychometric models while ensuring accuracy and fairness in scoring algorithms.
- Company: Leading recruitment tech firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of talent analytics with cutting-edge technology.
- Qualifications: Advanced degree in a relevant field and strong skills in statistical analysis and programming.
- Other info: Collaborative environment with a focus on ethical AI principles and predictive analytics.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment technology firm in Greater London seeks a qualified candidate for the role of evaluating AI and psychometric models. The successful applicant will assess scoring algorithms for accuracy, design research to ensure model validity, and apply fairness testing methodologies.
Ideal candidates will hold an advanced degree in a relevant field and possess a strong understanding of statistical analysis, Python or R programming, and ethical AI principles. The position involves collaboration across teams and engagement in cutting-edge predictive analytics.
People Scientist: AI‑Driven Psychometrics & Talent Analytics employer: MakiPeople
Contact Detail:
MakiPeople Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land People Scientist: AI‑Driven Psychometrics & Talent Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the recruitment tech space, especially those who work with AI and psychometrics. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in statistical analysis or programming with Python or R. This gives us a tangible way to see what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on ethical AI principles and fairness testing methodologies. We love candidates who can discuss these topics confidently and show they’re up-to-date with industry trends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace People Scientist: AI‑Driven Psychometrics & Talent Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degree and any relevant experience in statistical analysis, Python or R programming. We want to see how your skills align with the role of People Scientist!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience with AI and psychometric models. We appreciate a well-structured application that gets straight to the point!
Demonstrate Your Passion for Ethical AI: Since ethical AI principles are key for us, share any experiences or projects where you’ve applied fairness testing methodologies. Show us that you care about responsible AI practices!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at MakiPeople
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and psychometric models. Be ready to discuss specific algorithms you've worked with, and how you've ensured their accuracy and fairness in past projects.
✨Show Off Your Skills
Prepare to demonstrate your programming skills in Python or R. You might be asked to solve a problem on the spot, so practice coding challenges related to statistical analysis and predictive analytics beforehand.
✨Understand Ethical AI
Familiarise yourself with ethical AI principles and be prepared to discuss how they apply to psychometrics and talent analytics. Companies are keen on candidates who can navigate these important issues thoughtfully.
✨Collaboration is Key
Since this role involves working across teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team projects in the past.
