Data Scientist

Kroo Bank is a digital first bank focused on using technology, data, and innovation to enhance banking experiences. As a Data Scientist, you will help the company leverage data across various business areas, building and deploying data science solutions to support strategic decision making and improve customer experiences.

Responsibilities:

• Build and iterate on statistical and machine learning models to solve business problems across areas such as credit risk, fraud, customer engagement, and operational efficiency
• Partner with stakeholders to define problem statements, success metrics, data requirements, and practical implementation plans
• Conduct data exploration and feature engineering to uncover drivers of outcomes and improve model performance and interpretability
• Develop robust evaluation frameworks, including appropriate baselines, validation strategies, monitoring metrics, and model performance reporting
• Support deployment of models into production in collaboration with Engineering, contributing to reproducible pipelines and model documentation
• Monitor models in production, identify performance drift, propose improvements, and support ongoing recalibration or retraining where required
• Apply probability and statistical inference to design experiments, interpret results, and provide clear recommendations to stakeholders
• Contribute to high quality data practices by identifying data quality issues, supporting cleaning and normalisation approaches, and defining standards for reliable datasets
• Write maintainable, well tested Python code using common data science libraries, and follow engineering best practices appropriate for production systems
• Use SQL and dbt to extract, transform, and validate data for analysis and modelling, ensuring traceability and reliability of outputs
• Collaborate with Risk, Compliance, and Audit stakeholders to ensure data science work is appropriately governed, documented, and aligned with regulatory expectations
• Support continuous improvement across data science methodologies, tooling, and ways of working