Data Scientist on Aviva's Fraud Data Science team transforming large datasets into actionable insights. Designing and deploying machine learning models to enhance fraud detection capabilities.
Responsibilities
Design, develop, test, and deploy scalable, production‑ready code and machine learning models
Transform large, complex datasets into actionable insights, recommendations, and data‑driven decisions
Develop innovative approaches to pattern recognition using machine learning, statistical, and analytical techniques
Communicate insights and model outcomes clearly to both technical and non‑technical audiences
Requirements
MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD preferred)
2+ years of experience across the end‑to‑end model development lifecycle, working with large and complex datasets (industry or academic/post‑doctoral experience considered)
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