criteria: Advanced Analytics and Data Science experience Demonstrable experience delivering data science projects Strong data manipulation and statistical analysis skills Experience implementing Machine Learning algorithms and statistical models Expert user of one or more popular BI Tools eg Oracle Analytics, Tableau, Looker, Qlik, Micro Strategy etc... Python experience SQL experience more »
visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of fraud and … and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI more »
visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of fraud and … and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI more »
Newcastle Upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of fraud and … and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI more »
