At a Glance
- Tasks: Analyse data, solve business problems, and collaborate on innovative projects.
- Company: Global leader in business and consumer data with a culture of innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Inclusive environment with support for diverse backgrounds and needs.
- Why this job: Make a real impact by working on strategic projects that shape the future.
- Qualifications: Experience in data analysis, strong SQL and Python skills, and knowledge of credit industry data.
The predicted salary is between 28800 - 48000 £ per year.
Join our team as a Data Analyst / Data Scientist and help build the foundations for a multi-year strategic project focused on consumer information.
About Creditsafe: Since launching in Oslo in 1997, Creditsafe has grown into a global leader in business and consumer data, empowering organisations to make better decisions. We believe in innovation, collaboration, and making complex data accessible and actionable—supported by a culture where everyone can bring their whole selves to work.
The Team: You’ll join an experienced project team working on an ambitious consumer information initiative. Together, we cover a broad range of work—from detailed analysis and coding to designing data logic and building new products that solve real business challenges.
Your Role: As a Data Analyst / Data Scientist, you’ll have a large degree of ownership over your work. Projects will span from low-level data analysis and problem solving to designing processes that address complex business problems and ultimately support product development.
Key Responsibilities:- Take ownership of key building blocks in the strategic roadmap: deeply understand data sources, analyse them to solve business problems, code the solution, and work with the tech team to implement and test.
- Work alongside, and learn from, industry subject matter experts in analytics, tech, and product to deliver meaningful outcomes.
- Maintain high standards of data quality and accuracy at all times.
Essential Skills and Experience:
- Proven experience in the UK consumer credit industry in a hands-on analytical role.
- Strong SQL and Python skills (including Pandas).
- Deep understanding of credit industry data sources, including data shared with and returned by credit bureaus.
- Knowledge of UK regulatory frameworks, including FCA guidelines, that govern data processing and credit decisions.
- Clear and logical communicator—open, honest, and able to present analysis effectively.
Desirable Skills:
- Familiarity with cloud services for data storage, processing, and analytics (AWS preferred).
- Experience with data warehouse architectures and data governance best practices.
- Prior use of common tools such as Git, Jira, and Unix environments.
- Natural problem-solver with an instinct for working with data.
- Good organisational skills and ability to manage multiple tasks.
- Commitment to continuous learning and professional development.
Accessibility & Adjustments: We are happy to make adjustments at any stage of the recruitment process to support your needs—please let us know what works best for you. This could include extra time or flexibility during interviews, screen reader–accessible formats, written rather than verbal communication, or remote options for assessments.
We welcome applications from candidates of all backgrounds. We are committed to equity and inclusion and happy to discuss adjustments such as flexible interview formats, extra processing time, or alternative communication methods to support your needs.
Data Scientist in Wales employer: Creditsafe
At Creditsafe, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Scientist, you'll enjoy significant ownership of your projects while working alongside industry experts, all within a supportive environment that prioritises professional growth and inclusivity. Our commitment to employee development, coupled with our flexible approach to work, makes Creditsafe an ideal place for those seeking meaningful and rewarding careers in the heart of the UK consumer credit industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Wales
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. We want to see how you tackle real-world problems, so make sure to highlight your analytical prowess and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the UK consumer credit industry and regulatory frameworks. We’re looking for clear communicators, so practice explaining your analysis and thought processes in a way that’s easy to understand.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Data Scientist in Wales
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in real-world scenarios, especially in the UK consumer credit industry.
Be Clear and Concise:When writing your application, keep it clear and logical. We appreciate open and honest communication, so make sure your analysis and experiences are presented effectively.
Tailor Your Application:Don’t just send a generic application! Tailor it to our job description by mentioning specific projects or experiences that relate to the responsibilities we’ve outlined. This shows us you’re genuinely interested.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Creditsafe
✨Know Your Data Inside Out
Before the interview, dive deep into the data sources relevant to the role. Understand how they work and how they can be used to solve business problems. This will not only impress your interviewers but also show that you’re genuinely interested in the position.
✨Show Off Your Coding Skills
Brush up on your SQL and Python skills, especially with libraries like Pandas. Be prepared to discuss your past projects where you’ve used these tools. If possible, bring examples of your code or analyses to demonstrate your hands-on experience.
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. The ability to communicate your findings effectively is crucial. Consider doing mock interviews with friends or using online platforms to refine your presentation skills.
✨Understand the Regulatory Landscape
Familiarise yourself with UK regulatory frameworks, particularly those related to consumer credit. Being able to discuss how these regulations impact data processing will show that you’re not just technically skilled but also aware of the broader context in which you’ll be working.
