6 of 6 Statistical Modelling Jobs in the South West

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they ...

monitoring instrumentation and sensors Develop real-time visualisation of measurements and system status for demonstrations, partner evaluations and experiments Investigate practical applications of statistical modelling and machine learning on existing calibration, QC and experimental data Support the wider team in using data-analysis, software and AI-assisted tools … data Expert Python programmer (C/C++, LabVIEW or R advantageous) Experience treating noisy or imperfect measurement data to improve reliability Experience developing mathematical, statistical or computational models from raw data, taking problems from initial investigation to a practical, implementable solution Experience in biomedical, medical device or in-vitro ...

quantitative skills to some of the biggest healthcare problems of the day. We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits, often working at the interface of academic research and practical application. No problem … managing others, and experience within the NHS or wider health field is not required. Of most importance is a good grasp of applied modelling approaches underpinned by degree-level qualification(s) in a quantitative discipline. Experience of coding in statistical languages, especially in 'R', is strongly desirable. ...

logical thinking and problem-solving abilities. Strong communication skills, with the ability to explain complex concepts clearly to non-technical audiences. Proven experience in statistical modelling and applying data science solutions to real client problems. A passion for connecting technical work to real customer outcomes, delivering clear ...

within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts … data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications ...

technical expertise. This role is based at our Canary Wharf office in London. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain … technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work ...