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: Flexible hybrid work, 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) 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)
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the education analytics field. A friendly chat can give us insider info on the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and predictive modelling. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists. We can even do mock interviews with friends to boost our confidence and refine our answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist Impact Analytics for Higher Education (Hybrid)
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 higher education.
Tailor Your CV: Don’t just send a generic CV! Tailor it to the role by emphasising your experience with machine learning techniques and any relevant projects. We love seeing how your background aligns with our mission.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about education analytics and how you can make an impact at StudySmarter. We appreciate a personal touch!
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 our team!
How to prepare for a job interview at QS Quacquarelli Symonds
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to higher education analytics. Brush up on your knowledge of university rankings and student behaviour patterns, as this will show your potential employer that you understand the impact of your work.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and SQL. Bring examples of past projects where you’ve used these skills to solve real-world problems. If possible, have a mini-project or code snippet ready to demonstrate your capabilities.
✨Emphasise Collaboration
Since the role is hybrid and involves working with global datasets, highlight your experience in collaborative projects. Share examples of how you’ve worked effectively in teams, both in-person and remotely, to drive successful outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current analytical projects and future goals. This not only shows your interest but also gives you a chance to assess if the company aligns with your career aspirations.