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. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection … is essential to align data science initiatives with NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance frauddetection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based … Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve frauddetection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and London and offer flexible, hybrid, office and home-based More ❯
Newcastle upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
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. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection … is essential to align data science initiatives with NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance frauddetection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based … Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve frauddetection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and London and offer flexible, hybrid, office and home-based More ❯
DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯
Newport, Gwent, United Kingdom Hybrid / WFH Options
DAC Beachcroft LLP
DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
DAC Beachcroft LLP
DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯
DAC Beachcroft. The team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection. This is an area of rapid development, with the team leading the way in making a truly intelligence led organisation. This role can be done on a remote More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Starling Bank Limited
your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about frauddetection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving frauddetection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
Starling Bank Limited
your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about frauddetection … that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning … warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving frauddetection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯
Tunbridge Wells, Kent, South East, United Kingdom Hybrid / WFH Options
Alethia Talent Limited
insights to increase average games played per month and overall revenues. User Segmentation: Identify and profile different user segments, uncovering behavioural patterns to inform tailored marketing and product strategies. Fraud & Risk Detection: Detect and flag suspicious behaviours, such as multiple account creation or abnormal winning patterns, to protect our community and business. Onboarding & Payments: Analyse and improve the … tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with frauddetection or risk analytics Strong attention to detail, analytical mindset, and a genuine passion for solving business problems with data Excellent communication skills and the ability to turn More ❯
South East London, London, United Kingdom Hybrid / WFH Options
Tempcover
projects could include: Establishing the foundation for product analytics at Tempcover, including event tracking, platform insights, and user behaviour analysis Investigating customer segments and behaviours to support pricing, targeting, fraud-detection and product development decisions Modelling and tracking customer return behaviour across products and platforms Analysing and improving digital marketing and consumer journeys across our businesses Designing and More ❯
elite engineering team that supports over 259 billion transactions annually across more than 200 countries. You'll be working on next-generation systems for real-time transaction processing and frauddetection , helping to shape the technology used by global household names such as Apple, Facebook, FedEx, and Nike . This is more than just a tech job - it … skills and a collaborative mindset Agile development experience in a team setting Bonus Skills (nice to have) Experience with big data tools like Hadoop, Spark, or Scala Exposure to fraud, payments , or financial services platforms Understanding of cloud-native development and container orchestration Knowledge of test-driven development and modern code quality practices What's on Offer Unrivalled pension More ❯