Data Scientist (DSAD)
Core
Apply advanced analytics and machine learning to unlock data value, delivering scalable insights for strategy, operational efficiency, fraud detection, and regulatory decisions.
Role type
Individual contributor data scientist (analytics & ML)
Builds
Predictive models, dashboards, and analytical products for risk scoring, fraud detection, and regulatory reporting
Domain
Public sector / Government / Financial risk
Deliverable
production ML models | dashboards & analysis
Required skills
statistical analysis, machine learning, predictive modelling, Python, R, SQL, Spark, data visualisation (Tableau/Power BI)
Preferred skills
building ML models at scale, deploying solutions on enterprise data platforms, cloud platforms (AWS), containerisation (Kubernetes), CI/CD pipelines
Technologies
Python, R, SQL, Spark, Tableau, Power BI, AWS, Kubernetes
Responsibilities
Work with business teams to understand data needs and deliver analytical products; assess and validate data quality; develop models for risk scoring and fraud detection; translate findings into visualisations and recommendations; champion data literacy and practices across the organisation
Seniority
Mid-level individual contributor
