11 of 11 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 ...

deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with … providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply robust statistical methods and model governance, and communicate findings clearly so stakeholders can act with confidence. You’ll also contribute to continuous improvement as technology, methods ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision‐making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

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 ...

record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

make tomorrow better for our customers Your world of expertise This role as a Scientific Software Engineer sits within the data- driven climate modelling project in the AI4Climate initiative at the Met Office Hadley Centre, where we are combining machine learning, deep learning data science, climate science, and high … data- driven models (DDCMs) represent the Earth system . You will help advance scientific understanding of DDCMs and their role within future climate modelling systems. You will join a multidisciplinary group of climate scientists, data scientists and software engineers, working closely with partners across the Met Office and internationally. ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

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 ...

methodologies and diagnostic techniques for next-generation memory systems. This role focuses on understanding DRAM behavior across logical, architectural, and physical domains, using simulation, statistical analysis, and mathematical modeling to investigate failure mechanisms, characterize performance margins, define test techniques and improve reliability and yield. The successful candidate will combine …/columns, wires, timing paths). Analyze DRAM behavior with a deep understanding of circuit operation, including variability, noise, leakage, and process effects. Apply statistical methods to large test datasets to identify trends, characterize distributions, isolate root causes, and support yield and reliability conclusions. Use mathematical models to describe ...