3 of 3 Permanent Statistical Analysis Jobs in Central London

Associate Director, Data & Analytics to strengthen its global analytical capabilities. The Role You will lead and enhance data-driven insights, through data management, statistical analysis and modelling, data visualisation, data interpretation and communication to support regulatory advocacy, market intelligence and industry best practice. Key Responsibilities Develop and expand … data sources, tools, and analytical frameworks Using external sources and other relevant tools, manage, process and analyse data to produce high-quality statistical outputs and visualisations. Contribute to the development of modelling tools, including the application of advanced statistical techniques and machine learning methodologies. Provide data insights, visualisations ...

thoroughly before clicking on the apply button at the bottom of this description. Data Scientist (GIS) - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL, Sparse data, Spatial data processing, QGIS, Spatial data storage, PostGIS, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, Statistics, Data Analytics, C# … .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and their worldwide client base has never been stronger, with significant growth in the last 12 months. They ...

analytics organisation specialising in predictive modelling within the sports sector. They are seeking a Quantitative Analyst to join their modelling team, focusing on developing statistical models and delivering data-led insights. This role centres on modelling within a major global sport, with opportunities to contribute to research across additional … sports and analytical projects. Key Responsibilities Develop and refine predictive models for pre-event and in-play scenarios Perform statistical analysis and hypothesis testing using large datasets Identify enhancements and research opportunities within existing models Maintain and improve mathematical libraries and modelling tools Support the delivery of reliable ...