South Western Ambulance Service NHS Foundation Trust
Job summary South West Ambulance Service NHS Foundation Trust (SWAST) are looking for an enthusiastic and passionate Associate DataScientist to join our Data Science team, which sits within the wider Data, Analytics and Insight team. We aim to grow our team's expertise and capability … to provide insights to aid evidence-based decision making, using an array of data science techniques such as time series forecasting, regression modelling, statistical modelling and hypothesis testing, discrete event simulation, natural language processing and process mapping. We are looking for a person who is logical and methodical, has … an interest in all things data science and sees problems as opportunities. We are committed to personal development and will provide the space and resources to enable the person to develop both themselves and the Data Science team, with an aim to better integrate and enhance modelling capacity more »
work and annual plan for delivering this is available on our website. Our new team are embarking on a piece of work to monitor data to identify and respond to patterns indicative of potential fraud. This will support our current work that reduces the likelihood of fraud occurring. We … will bring in data science capabilities to be deployed in counter fraud activity and work closely with partners across health and government to further maximise the preventative impact of proactive counter fraud analysis. We will combine this with our range of counter fraud and domain expertise to maximise our … impact using your knowledge, experience, and passion for your chosen field. The DataScientist 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. The role is more »
Newcastle Upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
work and annual plan for delivering this is available on our website. Our new team are embarking on a piece of work to monitor data to identify and respond to patterns indicative of potential fraud. This will support our current work that reduces the likelihood of fraud occurring. We … will bring in data science capabilities to be deployed in counter fraud activity and work closely with partners across health and government to further maximise the preventative impact of proactive counter fraud analysis. We will combine this with our range of counter fraud and domain expertise to maximise our … impact using your knowledge, experience, and passion for your chosen field. The DataScientist 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. The role is more »
