Newcastle Upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … develop, control, and produce models in a rapidly changing environment while being accountable for assuring and quantifying the value of all analytical enquiry and modelling within the programme of work. They'll play a critical role in managing a team, driving strategic planning, identifying opportunities to leverage data, defining … including techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Quantify value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced analytics, and IT teams more »
Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … develop, control, and produce models in a rapidly changing environment while being accountable for assuring and quantifying the value of all analytical enquiry and modelling within the programme of work. They'll play a critical role in managing a team, driving strategic planning, identifying opportunities to leverage data, defining … including techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Quantify value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced analytics, and IT teams more »
Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … develop, control, and produce models in a rapidly changing environment while being accountable for assuring and quantifying the value of all analytical enquiry and modelling within the programme of work. They'll play a critical role in managing a team, driving strategic planning, identifying opportunities to leverage data, defining … including techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Quantify value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced analytics, and IT teams more »
with equivalent professional experience in a field with relevance to health data science/Epidemiology Experience in natural language processing and AI Expertise building statistical models, use of machine learning using Python libraries, and MLOps tools Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies more »
data analytics and economic experience to design and execute pricing strategies Work closely with technical teams to build and fine-tune pricing algorithms Use statisticalmodelling and machine learning to create predictive pricing models Conduct thorough cost-benefit analyses, shaping pricing decisions to maximise overall value for the … both strategic and financially sound What we're looking for: Proven track record in value based and dynamic pricing strategies, data analytics, and economic modelling Deep understanding of economic theory and its practical application in pricing decisions Experience in creating and implementing price recommendation algorithms Good interpersonal and time more »
