51 to 75 of 469 Statistical Modelling Jobs in the UK

questions. Design and deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise … coding agents and tooling to accelerate the speed of development. Maintain high standards of statistical rigour, ensuring any findings that are communicated to stakeholders have been appropriately validated. Provide technical guidance and support to stakeholders to enhance their understanding and utilisation of data science tools. Work closely with ...

understand the information provided from clients through their actions, the role might also include analysing betting patterns and market behaviour. This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into … tasks by developing, maintaining and supporting the mathematical libraries behind our range of tools, models and software that delivers model predictions into production Perform statistical analysis of datasets, testing well-defined hypotheses and effectively communicating results to various stakeholders Potentially support and lead more juniors' members of the team ...

UNIX or Linux environment Experience with either numerical models (such as AGCMs, OGCMs, CGCMs, regional models or mesoscale models), handling large data sets, or statistical modelling Strong programming ability in scientific and analytical programming languages (e.g. Python, R, Fortran) Strong analytical skills and ability to effectively communicate insights … internal and external stakeholders Previous experience in catastrophe modeling, or specific expertise in modelling natural hazards is valued but not necessary Experience in using GitHub or similar code management software is advantageous Demonstrated proficiency in artificial intelligence concepts, with hands‐on experience using AI tools to streamline workflows ...

alone. What you’ll be doing: Machine Learning & Advanced Analytics Develop machine learning models for forecasting, classification, recommendation, optimisation, clustering and anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Compare … model development. Strong SQL skills and experience working with complex or sizeable datasets. Solid theoretical and practical understanding of supervised learning, unsupervised learning, statistical modelling, feature engineering, validation, model evaluation and optimisation. Hands-on experience with Python-based machine learning libraries, especially Scikit-Learn and at least ...

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 ...

Ability to translate business needs into technical solutions. Technical Skills Expert Proficiency inSQLand Python for managing unstructured data, cleaning, visualization, storytelling at executive level, statistical analysis & model development Expert level Tableau and PowerBI for seamless storytelling, visualisations & user experience at executive level Analytical and Problem-Solving Skills Strong critical ...

integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across … business forward, our client is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards ...

enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible ...

commercial performance across SHI’s enterprise business. This is a hands‐on role ideal for early-career professionals who want to apply machine learning, statistical modelling, and data science techniques in real business applications — including pricing optimization, margin forecasting, deal scoring, and opportunity analysis. Role Description AI/… critical thinking to analyse data, identify patterns, and make basic inferences. Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them. Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings. Critical Thinking ...

pivotal role in advancing our chemical processes, optimising process performance, and driving product development. Your expertise in chemical engineering, machine learning, and mathematical modelling will be instrumental in shaping our future. Qualifications & Skills PhD or equivalent advanced degree in Chemical Engineering, with a strong focus on data analysis, statistical modelling, and computational techniques. Proficiency in Python for data analysis and machine learning. Strong understanding of statistical methods, data manipulation, and data visualisation libraries (e.g., pandas and NumPy, scikit-learn, PyTorch, matplotlib/plotly). Utilise process/data analysis techniques to assess the potential of existing ...

operational decision making Design, build, test and maintain analytical data management systems, making sure they meet business requirements and user needs Build credible statistical models from the data and follow best coding practices Develop analytic insight based on functional designs and user requirements communicating findings via data visualisation ...

/year Description We're looking for a Pricing Analyst to join our Retail Pricing team. In this role, you'll use data analysis, statistical modelling and pricing insights to help develop competitive, fair and profitable pricing strategies for our motor insurance products. Working closely with colleagues across … retention, drive commercial performance, and ensure pricing decisions align with regulatory requirements and customer needs. What you'll be responsible for: Data Analysis and Modelling Analyse historical data and trends to develop accurate pricing models and forecasts. Apply statistical and actuarial techniques to identify key risk factors influencing ...

This is a senior leadership opportunity for a technically strong data leader to shape a growing Data Research function. You will combine hands-on statistical expertise with research strategy, people leadership and commercial decision-making. The Company They are a growing data and technology business providing sophisticated data products … open-ended research projects from hypothesis through to evidenced recommendations. Improve how new datasets are evaluated for quality, value and commercial potential. Develop stronger statistical, modelling and technical standards across the function. Lead, hire and develop a growing technical Data Research team. Evaluate the cost and value ...

Microsoft Excel. An inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making. Strong ...

/CFT. Understanding of international Model Risk Management rules and regulations, such as OCC SR 11-7. Strong understanding of machine learning and statistical modeling techniques. Deep understanding of fiat and crypto payment flows Proficiency in programming languages (e.g., Python, R, SQL). Experience with data visualization tools ...

join our Research and Intelligence organisation in London. You'll work across flexible, cross-functional squads within the Data Science team, leading analytical, statistical, and machine-learning work across both UTXO and EVM blockchains. The team develops behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that … projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes. Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across UTXO, EVM, and other blockchain data to attribute on-chain activity and uncover customer-relevant insights. Stay current ...

seeking a Biometric Research Scientist/Actuary to support research into mortality, morbidity, and disability risk. Working with large longitudinal datasets, you will apply statistical and machine learning techniques to understand the impact of medical, behavioural, demographic, and socio-economic risk factors. Your insights will help inform underwriting innovation … Responsibilities Prepare, validate, and analyse large longitudinal datasets from insurance, underwriting, claims, health, and related sources – in collaboration with Strategic Analytics team members. Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk. Apply techniques such as survival analysis, experience investigations, predictive modelling, and risk ...

recruitment projects we undertake for our partners, we are currently looking for: Data Scientist (Marketing) Responsibilities: Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges Collaborate with data engineers to build scalable data pipelines for modelling and reporting Translate business requirements into … data science problems with defined success metrics Prepare, clean, and manipulate large datasets for analysis and modelling Communicate results and recommendations clearly to diverse stakeholders, including non-technical audiences Work with product teams to integrate data science solutions into operational workflows Ensure all models and analyses comply with data ...

looking for a Senior Quantitative Modeller to architect, build, and evolve our core modelling and analytics platform. This is a rare opportunity to join a fintech redefining institutional asset allocation at an early stage, with hands‐on ownership of the models and systems that power everything we do. About … with less. What You Will Do Work directly with the Heads of Technology and Research to architect, build, and evolve Allocation Strategy's core modelling and analytics platform. Implement, validate, and productionise advanced models for asset allocation, risk, macro and scenario analysis, including data preparation, testing, calibration, optimisation ...

impact. Strong programming skills in Python and SQL, with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions ...

impact. Strong programming skills in Python and SQL, with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions ...

impact. Strong programming skills in Python and SQL, with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions ...

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...