People Scientist: AI, Psychometrics & Insights in London
People Scientist: AI, Psychometrics & Insights

People Scientist: AI, Psychometrics & Insights in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
M

At a Glance

  • Tasks: Evaluate AI models and conduct bias analysis to ensure fairness in automated scoring systems.
  • Company: A forward-thinking hiring technology firm based in Greater London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team and contribute to innovative processes and company culture.
  • Why this job: Make a real impact on hiring processes with your expertise in AI and psychometrics.
  • Qualifications: PhD/MSc in a related field with experience in AI evaluation and statistical analysis.

The predicted salary is between 36000 - 60000 £ per year.

A forward-thinking hiring technology firm in Greater London is seeking a People Scientist to ensure its automated scoring systems are scientifically robust and fair. The role involves evaluating AI models, conducting bias analysis, and collaborating across teams to translate insights into actionable recommendations.

Ideal candidates will hold a PhD/MSc in a related field and have proven expertise in AI evaluation, psychometric validation, and statistical analysis. This position promises significant input into the company's innovative processes and culture.

People Scientist: AI, Psychometrics & Insights in London employer: MakiPeople

As a forward-thinking hiring technology firm located in Greater London, we pride ourselves on fostering a collaborative and innovative work culture that values scientific rigor and fairness. Employees enjoy comprehensive benefits, opportunities for professional growth, and the chance to make a meaningful impact on our cutting-edge AI systems. Join us to be part of a dynamic team that is shaping the future of recruitment through data-driven insights.
M

Contact Detail:

MakiPeople Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land People Scientist: AI, Psychometrics & Insights in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend relevant events, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.

✨Tip Number 2

Prepare for interviews by practising common questions related to AI evaluation and psychometrics. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.

✨Tip Number 3

Showcase your expertise! Create a portfolio or a blog where you share insights on AI models and bias analysis. This not only demonstrates your knowledge but also sets you apart from other candidates.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace People Scientist: AI, Psychometrics & Insights in London

AI Evaluation
Psychometric Validation
Statistical Analysis
Bias Analysis
Collaboration Skills
Actionable Insights Translation
PhD/MSc in a Related Field
Automated Scoring Systems Evaluation

Some tips for your application 🫡

Show Off Your Expertise: Make sure to highlight your qualifications, especially your PhD/MSc and any relevant experience in AI evaluation and psychometric validation. We want to see how your background aligns with the role!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your skills and experiences, so we can easily see how you fit into our innovative team.

Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the People Scientist role. Show us that you understand what we’re looking for.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at MakiPeople

✨Know Your Stuff

Make sure you brush up on your knowledge of AI evaluation and psychometric validation. Be ready to discuss specific methodologies you've used in the past, as well as any statistical analysis techniques you're familiar with. This will show that you’re not just a theoretical expert but someone who can apply their knowledge practically.

✨Showcase Your Collaboration Skills

Since the role involves working across teams, be prepared to share examples of how you've successfully collaborated in previous roles. Highlight any experiences where you translated complex insights into actionable recommendations for different stakeholders. This will demonstrate your ability to communicate effectively and work well with others.

✨Prepare for Bias Analysis Questions

Given the focus on ensuring fairness in automated scoring systems, expect questions around bias analysis. Think about past projects where you identified and mitigated bias in AI models. Being able to articulate your thought process and the steps you took will impress the interviewers.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions that show your interest in the company’s innovative processes and culture. Inquire about how they currently evaluate their AI models or what challenges they face in ensuring fairness. This not only shows your enthusiasm but also gives you a better understanding of the role.

People Scientist: AI, Psychometrics & Insights in London
MakiPeople
Location: London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>