1 to 10 of 10 Anomaly Detection Jobs in the UK with Remote Work Options

are based on individual merchant risk and are charged as a percentage of payment volumes. Underpinning these products are four core types of models: Anomaly detection - highlighting where payments data suggests a statistically significant change in behaviour has occurred, AI (large language) models which ingest data from … research and development opportunities. For example payments data is a largely untapped, but hugely rich source of information for predicting the merchants credit risk. Anomaly detection in an industry where seasonality and customer behavioural changes cause lots of ‘noise’ is uniquely challenging. And predicting the level of more »

Job summary The NHS Counter Fraud Authority (NHSCFA) is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. Our new team … maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. … model development and production and the alignment with model governance, business, best practice, and regulatory standards. Desirable Expertise and proven experience of fraud/anomaly detection. Extensive understanding of the NHS data landscape. Accredited Counter Fraud Specialist or member of Government Counter fraud Profession Qualifications Essential Degree, in numerate more »

Job summary The NHS Counter Fraud Authority (NHSCFA) is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. Our new team … maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. … model development and production and the alignment with model governance, business, best practice, and regulatory standards. Desirable Expertise and proven experience of fraud/anomaly detection. Extensive understanding of the NHS data landscape. Accredited Counter Fraud Specialist or member of Government Counter fraud Profession Qualifications Essential Degree, in numerate more »

Job summary The NHS Counter Fraud Authority (NHSCFA) is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. Our new team … maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. … model development and production and the alignment with model governance, business, best practice, and regulatory standards. Desirable Expertise and proven experience of fraud/anomaly detection. Extensive understanding of the NHS data landscape. Accredited Counter Fraud Specialist or member of Government Counter fraud Profession Qualifications Essential Degree, in numerate more »

various services. Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to business use cases. Apply advanced analytics to business scenarios such as pricing, CLV (including more »

various services. Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to business use cases. Apply advanced analytics to business scenarios such as pricing, CLV (including more »

as GPT-3, DALL-E, CLIP, or others. Familiarity with machine learning concepts and techniques such as supervised and unsupervised learning, classification, regression, clustering, anomaly detection, natural language processing, computer vision, and deep learning. Experience with data visualization and storytelling tools and techniques. Excellent communication, collaboration, stakeholder more »

AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform’s anomaly detection and predictive analytics capabilities. System Integration: Collaborate with the engineering team to integrate computer vision solutions with existing systems and infrastructure … computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision more »

AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform's anomaly detection and predictive analytics capabilities. System Integration: Collaborate with the engineering team to integrate computer vision solutions with existing systems and infrastructure … computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision more »

experience in secure network perimeter design including network segmentation Packet capture and analysis experience using vendor and open-source tooling SIEM log analysis and anomaly detection experience (preferable) Coding and automation experience Python and/or Terraform (preferable) CISSP certifications or familiarity with CISSP concepts Hybrid working more »