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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 abilities.
- Other info: Join a dynamic team with opportunities for 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) 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)
✨Tip Number 1
Network like a pro! Reach out to current employees at the university or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. We should be ready to discuss specific projects where we've used data to drive decisions, especially in an academic context.
✨Tip Number 3
Showcase our passion for diversity and inclusion during interviews. The university values these principles, so let’s highlight any relevant experiences that demonstrate our commitment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows we’re genuinely interested in being part of the team.
We think you need these skills to ace Data Scientist, Higher Ed Portfolio Analytics (Hybrid)
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your data analysis skills in your application. We want to see how you can turn numbers into insights, so share specific examples of your past work that demonstrate your expertise.
Engage with the Role: When writing your application, connect your experience to the responsibilities listed in the job description. Show us how you can support program assessments and contribute valuable insights to senior leadership.
Be Yourself: We value diversity and inclusion, so don’t be afraid to let your personality shine through in your application. Share your unique perspective and how it can add value to our team.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people.
How to prepare for a job interview at Cyber Security Academy Southampton
✨Know Your Data Inside Out
Make sure you’re well-versed in the 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, especially in an educational context.
✨Engage with the University’s Mission
Familiarise yourself with the university's goals and values, particularly around diversity and inclusion. Be prepared to discuss how your work as a Data Scientist can support their mission and enhance the academic experience.
✨Prepare Insightful Questions
Think of thoughtful questions to ask during the interview. This shows your genuine interest in the role and helps you understand how you can contribute to program assessments and senior leadership decisions.
✨Showcase Your Communication Skills
Since the role involves engaging with both academic and professional services, practice explaining complex data concepts in simple terms. Highlight any experience you have in presenting data insights to non-technical audiences.
