2 of 2 Graph Analytics Jobs in Berkshire

role is for you. What You’ll Be Doing Developing ML models to optimise payment workflows, detect anomalies, and predict payment success rates. Applying graph analytics techniques to uncover hidden relationships in transaction data and improve fraud detection mechanisms. Building and maintaining scalable data pipelines to support real … Education: Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Physics, or a related field. Experience: Professional experience in data science and graph analytics, preferably in the financial or payments industry. Expertise: Strong understanding of graph databases, graph algorithms, and graph analytics More ❯

Wallets, Smart Contracts, mixers and privacy services. Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks If this sounds like you then please do reach out and let's have a chat More ❯