Data scientist jobs in London, United Kingdom

About the role

As a Data Scientist, you will play a key role in helping Kroo use data more effectively across a wide range of business areas, partnering with teams across Product, Risk, Operations, Compliance, and Engineering. This role is responsible for building, evaluating, and deploying data science solutions that support strategic decision making and improve customer experiences. You will work on high impact initiatives across areas such as credit risk, fraud prevention, customer engagement, and operational efficiency, helping the business make informed decisions through robust analysis, experimentation, and modelling.

What you'll bring

• Experience building and evaluating statistical and machine learning models in a commercial environment.
• Strong analytical and problem solving skills with the ability to translate business challenges into practical data science solutions.
• Ability to conduct basic data collection by independently sourcing and defining required datasets, partnering with stakeholders to clarify data needs and ensure appropriate coverage and traceability.
• Ability to perform data cleaning effectively by independently applying robust cleaning approaches, proactively identifying data quality issues, and contributing to improving data reliability and standards.
• Ability to conduct basic data analysis by independently performing exploratory analysis and statistical investigation, translating findings into clear insights and actionable recommendations.
• Strong programming fundamentals with experience writing maintainable Python code for analysis and modelling, contributing to shared codebases through good practices, testing, and documentation.
• Experience using SQL and dbt to extract, transform, validate, and analyse data.
• Ability to apply visualisation techniques to produce clear, purposeful visualisations and model performance summaries that support decision making across technical and non technical audiences.
• Ability to communicate effectively by explaining complex analytical concepts clearly and tailoring messages to a wide range of stakeholders.
• Strong attention to detail, ensuring outputs are validated, reproducible, and documented in line with governance and compliance requirements.
• Ability to manage data projects proficiently by planning and delivering work to agreed timelines, managing competing priorities, and contributing positively to team delivery processes.
• Experience working collaboratively with Product, Risk, Operations, Compliance, and Engineering teams is beneficial.