Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive impactful analytical projects and develop models for university rankings.
- Company: Leading education analytics company in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in higher education using advanced machine learning techniques.
- Qualifications: Proficiency in Python and SQL, plus a quantitative degree.
- Other info: Collaborative environment leveraging global datasets for meaningful insights.
The predicted salary is between 36000 - 60000 £ per year.
A leading education analytics company in the UK seeks a Data Scientist to drive impactful analytical projects. The role involves developing models for university rankings and predicting student behavior using advanced machine learning techniques.
Proficiency in Python and SQL, along with a quantitative degree, is required. The position is hybrid, allowing flexibility between office and remote work, with an emphasis on collaboration and leveraging global datasets.
Data Scientist Impact Analytics for Higher Education (Hybrid) in London employer: QS Quacquarelli Symonds
Contact Detail:
QS Quacquarelli Symonds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Impact Analytics for Higher Education (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the role and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Python and SQL. This will help us demonstrate our expertise and stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. We can even do mock interviews with friends to build confidence before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how our skills align with the job description.
We think you need these skills to ace Data Scientist Impact Analytics for Higher Education (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL in your application. We want to see how you’ve used these skills in past projects, especially if they relate to data analytics or machine learning.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when applicants tailor their documents to the role. Mention specific experiences that align with developing models for university rankings or predicting student behaviour.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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’re considered for this exciting opportunity in our hybrid work environment.
How to prepare for a job interview at QS Quacquarelli Symonds
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to predictive modelling or analytics. They’ll want to see how you can apply your knowledge to real-world problems.
✨Understand the Company’s Impact
Research the company’s role in higher education analytics. Familiarise yourself with their projects, especially those related to university rankings and student behaviour predictions. This will show that you’re genuinely interested and can contribute to their mission.
✨Prepare for Technical Questions
Expect technical questions that test your analytical thinking and problem-solving skills. Practice explaining your thought process clearly and concisely. You might be asked to solve a case study or a coding challenge, so be prepared to demonstrate your skills live.
✨Show Your Collaborative Spirit
Since the role emphasises collaboration, be ready to discuss how you’ve worked in teams before. Share examples of how you’ve leveraged diverse datasets and collaborated with others to achieve impactful results. Highlighting your teamwork skills will resonate well with them.