Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse customer portfolio trends and develop predictive models to enhance credit risk analytics.
- Company: Leading water utility provider in the UK with a dynamic Credit Risk team.
- Benefits: Hybrid working model, competitive salary of £53,910, and opportunities for strategic influence.
- Why this job: Make a real impact on financial resilience while working with data-driven insights.
- Qualifications: Strong background in SQL and Python, plus a relevant degree.
- Other info: Join a collaborative environment with excellent career growth potential.
The predicted salary is between 32346 - 40274 £ per year.
A leading water utility provider in the UK is seeking a skilled Portfolio Revenue & Debt Data Scientist to enhance credit risk analytics within the dynamic Credit Risk team. The role involves analyzing customer portfolio trends, developing predictive models, and influencing strategic decisions to improve financial resilience.
Ideal candidates will have a strong background in SQL and Python, and a degree in a relevant field. This position offers a hybrid working model in Swindon, with a starting salary of £53,910 per annum.
Credit Risk Data Scientist: Portfolio & Debt Analytics in Swindon employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Data Scientist: Portfolio & Debt Analytics in Swindon
✨Tip Number 1
Network like a pro! Reach out to current employees in the Credit Risk team or related departments. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your SQL and Python prowess. This can be a great conversation starter during interviews and shows we mean business.
✨Tip Number 3
Stay updated on industry trends! Read up on the latest in credit risk analytics and portfolio management. Being knowledgeable will help us impress during interviews and demonstrate our passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips and updates on the hiring process that can give us an edge.
We think you need these skills to ace Credit Risk Data Scientist: Portfolio & Debt Analytics in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills for the role. We want to see how your background aligns with the credit risk analytics focus, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk analytics and how you can contribute to our dynamic team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Analytical Skills: In your application, be sure to include examples of how you've used data to influence decisions in previous roles. We’re looking for candidates who can demonstrate their analytical prowess and strategic thinking.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our fantastic team!
How to prepare for a job interview at idibu
✨Know Your Numbers
Brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these tools to analyse data or develop predictive models. This will show that you can hit the ground running in the role.
✨Understand the Business
Research the water utility sector and understand the challenges it faces, especially regarding credit risk. Being able to discuss how your work can influence strategic decisions will impress the interviewers and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and modelling. Practice explaining your thought process clearly and concisely. Use examples from your past experience to illustrate your problem-solving skills and analytical thinking.
✨Showcase Your Soft Skills
While technical skills are crucial, don't forget to highlight your communication and teamwork abilities. The role involves influencing decisions, so being able to articulate your findings and collaborate with others is key. Prepare examples of how you've successfully worked in a team or communicated complex ideas.
