7 of 7 Statistical Analysis Jobs in Central London

support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills … efficient data models, databases, and reporting systems. Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions. Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively. Collaborate with cross-functional teams to define key performance indicators (KPIs ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical analysis systems Acquire, clean, and process data from multiple sources Analyse trends and patterns within complex datasets Build automation and data processing tools Support back-testing, simulations, and performance analysis Identify opportunities for process and model improvements Collaborate closely with data scientists and software engineers Requirements Commercial ...

analyse and interpret complex data sets, providing actionable insights to support decision making. You will work closely with stakeholders to design data models, run statistical analyses, and present clear findings. The role requires strong SQL, Snowflake experience and a passion for data governance and reporting. The successful candidate will ...

learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding ...

applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide technical direction. Collaborate with engineers, product managers, applied scientists ...

equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data … manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand ...

equivalent practical experience. 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: 2 years of experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design … supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering marketing analytics e.g., Marketing Mix Modeling , geo experiments, meta-analysis, audience segmentation and propensity modeling . Understanding ...