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For Companies At a Glance
- Tasks: Analyse data and solve real business problems while coding solutions.
- Company: Join Creditsafe, a global leader in consumer data since 1997.
- Benefits: Flexible working options, inclusive culture, and opportunities for professional growth.
- Why this job: Make an impact on strategic projects and learn from industry experts.
- Qualifications: Experience in the UK consumer credit industry with strong SQL and Python skills.
- Other info: Supportive environment with adjustments available throughout the recruitment process.
The predicted salary is between 28800 - 48000 ÂŁ 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.
Skills & Experience
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.
Personal Attributes
- 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
- 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 Cardiff employer: Creditsafe
Contact Detail:
Creditsafe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people 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
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with data analysis. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let us see your work. Highlight any relevant projects that demonstrate your problem-solving skills and understanding of the credit industry data.
✨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 at Creditsafe.
We think you need these skills to ace Data Scientist in Cardiff
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data! Share specific examples of how you've tackled data challenges in the past and what excites you about working with consumer information.
Tailor Your Skills to the Role: Make sure to highlight your SQL and Python skills prominently. We want to see how your experience aligns with our needs, so don’t be shy about showcasing your knowledge of credit industry data sources and regulatory frameworks.
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 UK consumer credit industry. Familiarise yourself with how these data points interact and how they can solve real business problems. This will not only show your expertise but also your genuine interest in the role.
✨Showcase Your Coding Skills
Be prepared to discuss your experience with SQL and Python, especially with libraries like Pandas. Consider bringing along a portfolio of past projects or examples where you've used these skills to analyse data and derive insights. This practical demonstration can set you apart from other candidates.
✨Communicate Clearly and Logically
As a Data Scientist, you'll need to present complex analyses in an understandable way. Practice explaining your past projects and findings in a clear, concise manner. Use examples that highlight your ability to communicate effectively with both technical and non-technical stakeholders.
✨Embrace Continuous Learning
Show your commitment to professional development by discussing any recent courses, certifications, or self-study you've undertaken. Mentioning your familiarity with cloud services or data governance best practices can demonstrate your proactive approach to staying current in the field.
