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Rosstone is seeking a Senior Data Scientist to apply advanced analytics, ML, and graph-based techniques to interconnected data in enterprise environments. You will work on high-impact use cases across fraud detection, financial crime, and customer intelligence, building robust models and delivering actionable insights.
You will own end-to-end model development, feature engineering, and deployment on cloud-native platforms, collaborating with data engineers and stakeholders to ensure production
The Senior Data Scientist is a specialised role focused on applying advanced analytics, machine learning, and graph-based techniques to derive insights from complex, interconnected data. The role supports high-impact use cases such as fraud detection, financial crime, and customer intelligence.
Responsibilities include developing predictive models, leveraging graph analytics, enabling AI/GenAI use cases through knowledge graphs, and driving feature engineering for downstream models. The role requires strong expertise in Python, machine learning, graph analytics, and cloud-native platforms, with accountability for end-to-end model development, performance optimisation, and deployment within enterprise data environments.