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- Tasks: Evaluate AI and psychometric models, 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 professionals in the recruitment tech space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with AI, psychometrics, and statistical analysis. This could be anything from projects you've completed to research papers you've written. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of ethical AI principles and fairness testing methodologies. Be ready to discuss how you would apply these concepts in real-world scenarios, as this will show your understanding and commitment to the field.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows your genuine interest in joining our team and makes it easier for us to find your application.
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 Specific About Your Experience: When discussing your past work, focus on specific projects where you evaluated AI models or conducted psychometric assessments. This helps us understand your hands-on experience and how it relates to our needs.
Emphasise Collaboration: Since this role involves working across teams, mention any collaborative projects you've been part of. We love seeing how you engage with others to achieve common goals!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at MakiPeople
✨Know Your Stats
Brush up on your statistical analysis skills before the interview. Be ready to discuss specific methodologies you've used in the past, and how they relate to AI-driven psychometrics. This will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Programming Skills
Make sure you can talk confidently about your experience with Python or R. Prepare examples of projects where you’ve implemented scoring algorithms or conducted fairness testing. This will demonstrate your technical prowess and relevance to the role.
✨Understand Ethical AI Principles
Familiarise yourself with ethical AI principles and be prepared to discuss their importance in psychometric modelling. Companies are increasingly focused on fairness and transparency, so showing that you prioritise these values will set you apart.
✨Collaboration is Key
Since the 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, especially in predictive analytics. This will illustrate that you’re a team player who can thrive in a collaborative environment.
