Essential Advanced knowledge of data architecture, database design and BI technology Extensive knowledge of statistical and machine learning techniques, programming and development in R, Python, SQL, Pig Latin, Java, JavaScript or C++ etc Awareness of Information Governance and the importance of reporting standards and report definitions Advanced knowledge of machine more »
Specification Data Engineering tools Essential Experience in Microsoft Data Engineering tools (in SQL Server, Azure Synapse/Data Factory, SSIS) Desirable Demonstrable knowledge of Python, R or another programming language Developing ETL Solutions and Data Modelling Essential Experience in the successful implementation, use and maintenance of data warehouse solutions. Practical more »
Newcastle Upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning more »
service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning more »
care data sets Techniques to pseudonymise and anonymise of data sets and analyses Knowledge of commonly used programs in data engineering and statistics (e.g. python/R) Qualifications Essential Educated/trained to degree level in relevant subject or equivalent level qualification or significant experience of working at a similar more »
working with data warehouse environments, developing business intelligence products (including interactive visual reports), data modelling, and producing analysis using statistical software (e.g. R and Python). The Data Scientist will use their technical skills to implement statistical analysis, develop simulation models, data visualisation, and automated reporting solutions. Previous experience of … Server Benchmarking, modelling and forecasting skills Knowledge of data warehouse environments Strong communication skills both written and verbal Desirable Advanced user in R or Python Use of analytical techniques, including supervised and unsupervised machine learning algorithms, such as regression modelling, decision trees and classification. Automation using SQL, VBA, and Microsoft more »