8 of 8 Remote/Hybrid Contract Fraud Detection Jobs

cloud data platform on AWS. You will have a proven track record of migrating significant data workloads-such as claims management and fraud detection-to Snowflake, optimising data pipelines and establishing best practices for data modelling, governance, and security. A strong background as a Subject Matter Expert … insurance is essential, particularly in domains such as risk management, claims processing, underwriting, fraud detection, and customer analytics. Your industry-specific insights will enable you to design tailored data architectures that support regulatory compliance, operational efficiency, and strategic analytics. Familiarity with insurance data standards, regulatory frameworks, and industry ...

ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

office and home working. Across three eight-month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...

This placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex … Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows ...