Data
Scientist.

From a question to a working model.

At Kiz8, data science sits between engineering and applied research. We’re looking for a Data Scientist to investigate financial data, test hypotheses, and turn promising approaches into systems people can use.

You’ll work with engineers and researchers, following a problem from the first exploratory analysis through evaluation and into a real workflow.

What you’ll work on

• Explore transaction and operational data, assess its quality, and find the signals that matter.
• Build and evaluate statistical and machine learning models for problems such as anomaly detection, fraud, and decision support.
• Design experiments with clear baselines, useful metrics, and reproducible results.
• Collaborate with engineers to bring models into production and understand how they perform over time.
• Communicate findings, trade-offs, and limitations clearly to technical and non-technical teammates.

What you’ll bring

• Practical experience using Python and SQL to work with real-world datasets.
• A solid understanding of statistics, machine learning, and model evaluation.
• Good judgment about data leakage, uncertainty, and the difference between a useful model and a good-looking benchmark.
• The ability to structure an open-ended problem and explain your reasoning.

Useful, not requiredExperience with financial data, fraud or risk modelling, time series, or deploying models.