11 of 11 Statistical Modelling Jobs in the South West

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

complex data into powerful business decisions? Join our team and help shape the future of data-driven decision-making by delivering advanced analytics, predictive modelling, and business intelligence solutions that influence strategic and operational outcomes across the organisation. This role offers the opportunity to work with diverse stakeholders, modern … experience: Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik. Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration ...

fraud detection, and monitoring.Collaborate with compliance officers to assess regulatory requirements and ensure adherence.Assist in the development of financial crime prevention strategies.Build and refine statistical models and machine learning tools to detect unusual activity, as well as presentation tools to demonstrate fraudulent activity.Present findings to senior management, regulators ...

also welcomed. Experience working with cloud-based analytics environments. Exposure to GCP would be beneficial but is not essential. Python experience. Knowledge of statistical techniques and predictive modelling. Ideal Candidate A true data storyteller rather than someone focused solely on reporting and dashboard creation. Comfortable working directly with stakeholders ...

seeking a Quantitative BI Analyst to bridge the gap between advanced financial analytics and enterprise-scale business intelligence. This hybrid role combines deep financial modelling expertise with strong technical skills in data architecture and BI tools, enabling data-driven decision-making across a complex, multi-business SaaS organization. … Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation.- Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.- Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.- Develop ...

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 ...

unleash your potential!Role Overview:We are seeking a Senior Data Scientist to join us on a permanent basis. You will apply advanced analytical, statistical, and machine‐learning techniques to support major UK Government programmes and the wider enterprise, working across multidisciplinary teams throughout the UK.You will collaborate with … value projects, and help shape the analytical capability within one of the strongest teams in the business.Your Responsibilities Will Include:Designing, developing, and validating statistical models and machine‐learning solutionsConducting exploratory data analysis and feature engineering to uncover insights and support decision‐makingWorking closely with data engineers to ensure ...

track 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 ...

Python or equivalent tools to analyse data, develop models or build AI-enabled solutions.Understanding of common data science and machine learning approaches, such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different …/CD.Working with MLOps or workflow tools such as MLflow, Kubeflow, Argo or equivalent frameworks.Scaling models or analytical services for enterprise or operational use.Applying statistical methods, model evaluation techniques and uncertainty analysis.Understanding responsible AI, including fairness, explainability, transparency, robustness, privacy, security and human oversight.Working in secure, sensitive or mission ...

summary Data Scientists play a key role in using data, stats & machine learning to solve problems & improve decision-making. They will develop & evaluate statistical & machine learning approaches, focus on applications such as population health analysis, risk stratification, forecasting, segmentation & predictive modelling. Bringing together complex datasets, identifying appropriate modelling … ensure analytical code & models can be developed, tested, deployed & updated in a controlled & reproducible way. Emphasis placed on discovery, experimentation & rapid prototyping, testing hypotheses & modelling approaches early, evaluating whether they provide meaningful value & iterating based on evidence & user feedback. Ensure solutions are robust, reproducible, explainable & appropriately validated, consideration given ...

dunnhumby's next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you'll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You'll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute … data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ...