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- Tasks: Analyse data to enhance university programmes and support decision-making.
- Company: Leading research university in the UK with a focus on diversity and inclusion.
- Benefits: 30 days of vacation, wellness perks, and a flexible work environment.
- Why this job: Make a real impact on higher education through data-driven insights.
- Qualifications: Strong data analysis skills and effective communication with diverse teams.
- Other info: Join a dynamic team committed to innovation and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading research university in the United Kingdom is seeking a Data Scientist to provide expertise in developing its programme portfolio. The role requires strong data analysis skills and the ability to engage effectively with academic and professional services.
Responsibilities include:
- Supporting program assessments
- Contributing insights from data analysis
- Advising senior leadership
The university promotes a flexible work environment with a strong commitment to diversity and inclusion, offering generous benefits including 30 days of vacation and wellness perks.
Data Scientist, Higher Ed Portfolio Analytics (Hybrid) in London employer: Cyber Security Academy Southampton
Contact Detail:
Cyber Security Academy Southampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Higher Ed Portfolio Analytics (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the university on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. We recommend practising with real datasets and being ready to discuss how you can contribute to programme assessments.
✨Tip Number 3
Showcase your soft skills! The role involves engaging with academic and professional services, so be ready to demonstrate your communication and teamwork abilities during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining the team.
We think you need these skills to ace Data Scientist, Higher Ed Portfolio Analytics (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your data analysis skills and any relevant experience in higher education. We want to see how you can contribute to our programme portfolio!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your insights can support program assessments. Let us know how you can engage with both academic and professional services.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include examples of past projects or analyses that relate to the responsibilities mentioned in the job description. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we’re excited to see your application come through!
How to prepare for a job interview at Cyber Security Academy Southampton
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis techniques relevant to the role. Brush up on your statistical methods and be ready to discuss how you've applied them in past projects. This will show that you can contribute valuable insights to the university's programme portfolio.
✨Engage with the University’s Mission
Familiarise yourself with the university's goals, especially around diversity and inclusion. Be prepared to discuss how your work as a Data Scientist can support these initiatives. This demonstrates that you’re not just interested in the job, but also in contributing to the university's broader mission.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Practise articulating your thought process clearly, as this will showcase your analytical skills and ability to engage effectively with both academic and professional services.
✨Showcase Your Communication Skills
Since the role involves advising senior leadership, it’s crucial to demonstrate your ability to communicate complex data insights in a clear and concise manner. Prepare examples of how you’ve successfully communicated findings to non-technical stakeholders in the past.
