Data Analyst / Data Scientist
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
PRodxperience 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.
