At a Glance
- Tasks: Lead psychometric analysis and enhance our adaptive testing platform using data science and programming skills.
- Company: Join Kaplan International Pathways, a leader in flexible study options for international students.
- Benefits: Enjoy remote work, 28 days annual leave, and discounts on Kaplan courses for you and your family.
- Why this job: Be at the forefront of AI innovation in education while building your career with an industry leader.
- Qualifications: Master’s or Ph.D. in relevant fields, strong psychometric experience, and proficiency in Python and SQL required.
- Other info: Part-time role with up to 26.5 hours per week, offering a competitive salary of £55,000 pro rata.
We are looking for a Lead Psychometric Data Scientist to join our team. We are seeking an experienced psychometrician to join our online English language testing team. You will combine strong psychometric and data science expertise with technical programming skills to maintain and enhance our adaptive testing platform. This role bridges the gap between psychometric analysis and technical implementation, working closely with IT teams to drive continuous improvement of our assessment system. You will also lead AI innovation initiatives to enhance test delivery, scoring, and adaptation mechanisms through the application of machine learning and artificial intelligence technologies.
This is an excellent opportunity for someone who may be currently working as a Data Scientist, who is looking to expand their skills and build their career with an industry leader.
What you’ll bring to the role:
- Master’s or Ph.D. Degree preferred (or working towards the completion of) in one of the following disciplines: applied mathematics, psychometrics, data science, educational measurement, statistics, or a closely related subject.
- Significant experience and high level technical competence in analysing and quality monitoring high-stakes CAT assessments (English language assessments preferred).
- Practical knowledge of Item Response Theory (IRT), including use of IRT in test construction, score scaling, score equating, adaptive testing, DIF.
- Technical knowledge of parameter estimation methods used in IRT (ML, EM-algorithm, MCMC).
- Ability to work with adaptive algorithms and automated response scoring in educational tests.
- Proficient in programming languages: Python, SQL.
- Excellent working knowledge of psychometric packages and software.
- Knowledge and experience in applying advanced statistical models and Machine Learning tools and methods for inference and prediction.
- Experience in using gen-AI in educational research.
- Strong analytical and problem-solving abilities.
- Excellent interpersonal and communication skills and strong report writing skills.
- Ability to work collaboratively across a range of teams.
What we offer:
- As well as a competitive salary, hybrid/home working where possible, and paths for career progression, we offer a comprehensive benefits package that includes:
- 28 days annual leave*
- Big discounts on Kaplan courses for you and your family
- 24/7 confidential helpline providing counselling and other support services
- Company pension contributions
- Maternity, Adoption, Shared Parental and Paternity/Partner pay which is well above statutory levels
- Medicash Health Cash Plan
*Please note that the annual leave entitlement will be calculated on a pro rata basis if the role is part time.
How to apply:
To apply for this role please submit a CV along with a Cover Letter detailing how you meet the requirements of the role no later than 11pm on 8th May 2025. Note, we recommend that you apply at the earliest as we reserve the right to close the role before the closing date if we have gathered a suitable shortlist.
Lead Psychometric Data Scientist employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Psychometric Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in psychometrics and data science. Being well-versed in current methodologies, especially in adaptive testing and machine learning, will help you stand out during discussions with our team.
✨Tip Number 2
Showcase your programming skills by working on relevant projects or contributing to open-source initiatives. Highlighting your proficiency in Python and SQL can demonstrate your technical capabilities effectively.
✨Tip Number 3
Network with professionals in the field of psychometrics and data science. Engaging in online forums or attending webinars can provide insights into the industry and may even lead to valuable connections within our organisation.
✨Tip Number 4
Prepare to discuss your experience with Item Response Theory (IRT) and its applications in educational assessments. Being able to articulate your practical knowledge will be crucial during interviews, as it directly relates to the role's requirements.
We think you need these skills to ace Lead Psychometric Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in psychometrics, data science, and programming. Emphasise your technical skills in Python and SQL, as well as any experience with adaptive testing and machine learning.
Craft a Compelling Cover Letter: In your cover letter, clearly outline how your background aligns with the job requirements. Mention specific projects or experiences that demonstrate your expertise in Item Response Theory and your ability to work collaboratively across teams.
Showcase Your Technical Skills: Include examples of your work with psychometric packages and software. If you have experience with AI in educational research, be sure to highlight this, as it is a key aspect of the role.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any errors. Ensure that your writing is clear and professional, as strong communication skills are essential for this position.
How to prepare for a job interview at CV-Library
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python and SQL. Highlight any projects where you've applied these skills, especially in relation to psychometric analysis or adaptive testing.
✨Demonstrate Your Psychometric Knowledge
Familiarise yourself with Item Response Theory (IRT) and be ready to explain how you've used it in past roles. Discuss specific experiences with test construction, score scaling, and adaptive testing to showcase your expertise.
✨Highlight Collaborative Experiences
Since the role involves working closely with IT teams, share examples of successful collaborations from your previous jobs. Emphasise your interpersonal skills and how you’ve contributed to team projects.
✨Prepare for AI and Machine Learning Discussions
Given the focus on AI innovation, brush up on your knowledge of machine learning tools and methods. Be ready to discuss how you've applied these technologies in educational research or assessment systems.