1 to 3 of 3 Anomaly Detection Jobs in London

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 »

for non-technical audiences Extensive experience and expertise with SQL and Python required, along with relevant quantitative and data science libraries (prior experience with anomaly detection, regression, statistical tests, time series forecasting, predictive and propensity models preferred) Advanced knowledge of data visualization tools and dashboard design experience 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 »