51 to 65 of 65 Statistical Modelling Jobs in the UK excluding London

solutions and clear reporting of impact Your Skills & Experience * Strong experience leading data science teams and driving strategic initiatives * Deep expertise in machine learning, statistical modelling, and advanced analytics techniques * Proficiency in tools such as Python or R, and familiarity with modern data platforms * Experience translating complex data ...

trusted insights that drive continuous improvement and innovation. Main duties of the job Lead the development, delivery and continuous improvement of data analysis, modelling and reporting for the Blood Supply directorate. Extract, integrate and analyse complex datasets using tools such as SQL, Python, Power BI and Excel. Design … deliver dashboards, visualisations and statistical models to support operational and strategic decision-making. Translate complex analytical findings into clear, meaningful insights for a wide range of audiences, including senior leaders. Provide expert advice and act as a subject matter expert on data analysis and interpretation. Manage, coach and develop ...

Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment …/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments ...

with minimum supervision. Strong IT user & configuration skills (to include applications such as SQL, Power BI, Matlab, Phyton, MS Azure, Databricks) Experience Knowledge of statistical analysis and data modelling techniques. Experience with data quality monitoring tools or test automation frameworks. Experience with MATLAB or similar engineering analysis tools ...

initiatives end‐to‐end, from concept through to implementation, adoption and measurable business impact, across multiple business areas Deep technical understanding of advanced analytics, statistical modelling, AI, automation and data science techniques, with practical experience applying them to real commercial problems Strong commercial and strategic insight, ideally within ...

initiatives end‐to‐end, from concept through to implementation, adoption and measurable business impact, across multiple business areas Deep technical understanding of advanced analytics, statistical modelling, AI, automation and data science techniques, with practical experience applying them to real commercial problems Strong commercial and strategic insight, ideally within ...

initiatives end‐to‐end, from concept through to implementation, adoption and measurable business impact, across multiple business areas Deep technical understanding of advanced analytics, statistical modelling, AI, automation and data science techniques, with practical experience applying them to real commercial problems Strong commercial and strategic insight, ideally within ...

initiatives end‐to‐end, from concept through to implementation, adoption and measurable business impact, across multiple business areas Deep technical understanding of advanced analytics, statistical modelling, AI, automation and data science techniques, with practical experience applying them to real commercial problems Strong commercial and strategic insight, ideally within ...

analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What … Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building ...

significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency and produce world ...

implementation. They work independently on tasks like data consumption, preparation, and the translation of business problems into data stories. This role involves applying suitable statistical data analysis and modeling methods to solve complex business problems. Data Scientist works within the scope of their team, and occasionally across partner teams … working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. … complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured ...

machine learning applications. Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes. Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning … ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand how to make ML operational – whether that ...

real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts to solve complex analytical problems Communicate findings clearly to both technical … used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive salary ranging from ...

VISA sponsorship now or in the future. Overview: The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Fifty5Blue's internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Key Responsibilities Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing data ...