At a Glance
- Tasks: Join our Science team to innovate AI-driven hiring assessments and ensure fairness in scoring.
- Company: Maki People, a forward-thinking company revolutionising recruitment through science and technology.
- Benefits: Gain hands-on experience, mentorship, and the chance to shape the future of hiring.
- Other info: Dynamic internship with opportunities for growth and collaboration with industry leaders.
- Why this job: Make a real impact in AI and psychometrics while working on cutting-edge projects.
- Qualifications: Pursuing or completed MSc/PhD in relevant fields with experience in LLMs and Python or R.
The predicted salary is between 20000 - 30000 £ per year.
About the Science Team
At the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart. We don’t just create and validate assessments—we innovate. Our work spans:
- Expanding a cutting‑edge library of tests and tools.
- Designing bespoke activities and experiences for clients.
- Evaluating and refining AI‑driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.
- Leveraging psychometric expertise to build reliable, valid, and impactful assessments.
- Developing tools that analyze candidate and job data to predict performance and potential with precision.
- Supporting clients in using assessment data to optimize their workforce strategies, from talent acquisition to development and retention.
- Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports.
- Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices.
- Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI‑driven insights effectively.
As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards. Your impact as an AI Scientist Intern will go beyond day‑to‑day responsibilities—you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients.
About the Role
You’ll work at the intersection of AI and psychometrics, helping ensure Maki’s automated scoring systems are scientifically sound and fair. As an early member of the team, you’ll have real ownership over the work you do. Your main areas of focus will be:
- Model evaluation — testing how accurately and reliably our LLMs score assessments across languages and skills.
- Human‑AI comparison — designing studies that compare AI scoring against expert human judgment.
- Bias & fairness — detecting and analysing potential biases across demographic groups and helping build fairer models.
- Predictive analytics — working with assessment data to understand what predicts job performance and retention.
- Model monitoring — investigating anomalies and tracking model performance over time.
- Research — translating findings into insights for non‑technical stakeholders and contributing to publications.
What We’re Looking For
- Studying towards or recently completed an MSc or PhD in Data Science, Psychometrics, Computational Linguistics, or Psychology.
- Strong hands‑on experience with LLMs — prompt engineering, evaluation, benchmarking, and understanding model behaviour.
- Familiarity with NLP techniques used in automated scoring and assessment.
- Some exposure to psychometric methods (IRT, CFA) is a plus.
- Comfortable with Python or R.
- Curious, rigorous, and able to communicate technical findings clearly.
Application Process
- Stage 1 - Screening assessment (20 mins)
- Stage 2 - Hiring manager interview (45 min)
- Stage 3 - Power skill assessment with our AI agent (15 min)
- Stage 4 - Deep‑dive technical interview (60 min)
AI Scientist (Internship) in London employer: MakiPeople
Maki People is an exceptional employer that fosters a culture of innovation and collaboration within its Science team, where interns can make a meaningful impact on the future of hiring. With a focus on employee growth, you will have the opportunity to work closely with industry leaders, engage in cutting-edge research, and develop your skills in a supportive environment that values fairness and transparency in AI-driven assessments. Located in a vibrant area, Maki offers a unique chance to be part of a forward-thinking company that prioritises ethical practices and empowers its team members to drive significant outcomes for clients.
StudySmarter Expert Advice🤫
We think this is how you could land AI Scientist (Internship) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Maki People. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Prepare for your interviews by practising common questions related to AI and psychometrics. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts clearly.
✨Tip Number 3
Showcase your passion for AI and psychometrics during your interviews. Share any personal projects or research you've done that relates to the role. This will demonstrate your commitment and enthusiasm for the field!
✨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 being part of the Maki team.
We think you need these skills to ace AI Scientist (Internship) in London
Some tips for your application 🫡
Show Your Passion for AI and Psychometrics:When writing your application, let your enthusiasm for AI and psychometrics shine through. We want to see how your interests align with our mission at Maki People, so share any relevant projects or experiences that highlight your passion!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the AI Scientist Internship. Highlight your hands-on experience with LLMs and any relevant skills in Python or R. We love seeing candidates who take the time to connect their background to what we do!
Be Clear and Concise:In your written application, clarity is key! Use straightforward language to explain your technical skills and experiences. Remember, we’re looking for someone who can communicate complex ideas simply, so keep it engaging and easy to read.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture!
How to prepare for a job interview at MakiPeople
✨Know Your Stuff
Make sure you brush up on your knowledge of LLMs and psychometric methods. Be ready to discuss your hands-on experience with prompt engineering and model evaluation. The more you can demonstrate your understanding of these concepts, the better!
✨Show Your Curiosity
During the interview, express your curiosity about AI and psychometrics. Ask insightful questions about the team’s projects and how they tackle bias and fairness in their models. This shows that you're not just interested in the role, but also in contributing to the team's mission.
✨Prepare for Technical Questions
Expect some deep-dive technical questions in the interviews. Brush up on your Python or R skills and be prepared to explain your thought process when solving problems. Practising coding challenges related to NLP techniques can give you a solid edge.
✨Communicate Clearly
Since you'll need to translate complex findings into insights for non-technical stakeholders, practice explaining your past projects in simple terms. Clear communication is key, so think about how you can convey your technical expertise without overwhelming your audience.
