At a Glance
- Tasks: Use data science to drive impactful analytics and support customer outputs.
- Company: Join UCAS, a leader in digital services with a focus on innovation.
- Benefits: Earn up to £40,000, enjoy 30 days of leave, and work flexibly.
- Other info: Be part of a dynamic team with opportunities for growth and development.
- Why this job: Make a real difference with your analytical skills in a trusted hybrid environment.
- Qualifications: Numerate degree and strong Python programming skills required.
The predicted salary is between 40000 - 40000 £ per year.
UCAS is looking for a Data Scientist to join its Digital Services team in Gloucester. The role involves using analytical techniques and data science to support various customer outputs, including data product development and policy research.
The ideal candidate will possess a numerate degree and have strong programming skills in Python.
The role offers a salary of up to £40,000, 30 days of annual leave, and a hybrid working model built on trust and flexibility.
Data Scientist (Hybrid) - Impactful Analytics & ML in Gloucester employer: UCAS
UCAS is an excellent employer that fosters a collaborative and innovative work culture, where data-driven insights directly contribute to impactful customer outcomes. With a strong emphasis on employee growth, the company offers extensive professional development opportunities alongside a generous benefits package, including 30 days of annual leave and a flexible hybrid working model that prioritises work-life balance in the vibrant city of Gloucester.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Hybrid) - Impactful Analytics & ML in Gloucester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at UCAS on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those using Python. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data science problems and algorithms. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit the role perfectly.
We think you need these skills to ace Data Scientist (Hybrid) - Impactful Analytics & ML in Gloucester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python and any relevant analytical techniques you've mastered. We want to see how you can use these skills to make an impact!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the role. We love seeing candidates who take this extra step.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important details!
How to prepare for a job interview at UCAS
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to analytics and machine learning. Be prepared to discuss how you've applied these techniques in past projects, as this will show your practical understanding of the role.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and algorithms beforehand.
✨Understand UCAS's Mission
Research UCAS and its Digital Services team. Familiarise yourself with their customer outputs and how data science can enhance these services. This knowledge will help you tailor your answers and show genuine interest in the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, ongoing projects, and how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.
