Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative data science solutions to enhance educational assessments.
- Company: Join a forward-thinking organisation dedicated to improving educational processes.
- Benefits: Enjoy hybrid working, competitive salary, and a supportive work environment.
- Why this job: Make a real impact in education while working with cutting-edge data science techniques.
- Qualifications: Expertise in data science, NLP, and strong analytical skills required.
- Other info: Permanent, full-time role with a minimum of 2 office days per week.
The predicted salary is between 43800 - 58500 £ per year.
Salary: £43,800 - £58,500 per annum
Location: Cambridge, Hybrid with a minimum of 2 days per week working from the office
Contract: Permanent, Full Time (35 hours per week)
Are you keen to use your knowledge of data science techniques to inform decision-making aimed at ensuring accurate, valid and reliable assessments?
We are looking for a Senior Data Scientist expert in the development of innovative data science solutions ultimately aimed at improving processes and systems in the educational assessment field. The role will entail, for example, developing malpractice detection methods, or to provide insights on test content.
By leveraging extensive data manipulation, the use of Natural Language Processing, and the application of...
Contact Detail:
Cambridge University Press and Assessment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (6022) - Cambridge
✨Tip Number 1
Familiarise yourself with the latest trends in data science, especially in educational assessment. Understanding how data science can improve processes in this field will give you an edge during discussions.
✨Tip Number 2
Network with professionals in the data science and education sectors. Attend relevant meetups or webinars to connect with others who might provide insights or even referrals for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data science solutions. Be ready to explain your thought process and the impact of your work on decision-making.
✨Tip Number 4
Showcase your skills in Natural Language Processing (NLP) by discussing any relevant experience or projects. Highlighting your expertise in this area will demonstrate your fit for the role.
We think you need these skills to ace Senior Data Scientist (6022) - Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any work related to educational assessments or innovative data solutions. Use specific examples that demonstrate your expertise in data manipulation and Natural Language Processing.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their needs, particularly in developing methods for malpractice detection and providing insights on test content.
Showcase Relevant Projects: If you have worked on projects that involved data science techniques or educational assessments, be sure to include these in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your impact.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that your documents are well-structured and easy to read. A polished application reflects your attention to detail.
How to prepare for a job interview at Cambridge University Press and Assessment
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your expertise in data manipulation and Natural Language Processing. Be prepared to discuss specific projects where you've successfully applied these techniques, and consider bringing examples of your work to share during the interview.
✨Understand the Educational Assessment Field
Familiarise yourself with current trends and challenges in educational assessment. This will not only show your interest in the role but also allow you to discuss how your skills can directly contribute to improving processes and systems in this area.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about how you would approach developing malpractice detection methods or providing insights on test content, and be ready to articulate your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company's goals in the educational assessment field. This shows your enthusiasm for the role and helps you gauge if the company aligns with your career aspirations.
