26 to 50 of 411 Statistical Modelling Jobs in England

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical … with data scientists and software engineers Requirements Commercial experience using Python, R, or similar programming languages Experience developing football models within industry environments Strong statistical modelling and data analytics skills Degree in Mathematics, Statistics, Computer Science, Engineering, or similar quantitative discipline Excellent analytical and problem-solving ability Strong ...

consistent and reliable for decision-making. Data Science, Automation and AI Readiness - Use Python to automate recurring analysis, reporting and data preparation, while supporting statistical modelling, predictive analytics and AI/data science proof-of-concept work. Identify opportunities to improve insight delivery through automation and emerging analytical … ability to work with complex datasets and generate practical insight. Excellent data science and programming skills, with proficiency in Python for data analysis, modelling, automation and statistical applications. Experience in data manipulation, querying and analysis using SQL. Skilled in data visualisation and presentation of analytical findings using Power ...

consistent and reliable for decision-making. Data Science, Automation and AI Readiness - Use Python to automate recurring analysis, reporting and data preparation, while supporting statistical modelling, predictive analytics and AI/data science proof-of-concept work. Identify opportunities to improve insight delivery through automation and emerging analytical … ability to work with complex datasets and generate practical insight. Excellent data science and programming skills, with proficiency in Python for data analysis, modelling, automation and statistical applications. Experience in data manipulation, querying and analysis using SQL. Skilled in data visualisation and presentation of analytical findings using Power ...

real business questions Provide technical leadership and mentoring to junior analysts working on perception and influence analytics Raise overall analytical capability through coaching on statistical thinking, modelling techniques, and interpretation Требования: Strong experience in advanced analytics, statistical modelling, or quantitative research roles Deep hands-on expertise … regression analysis and multivariate statistical techniques Strong working knowledge of R and/or Python for statistical analysis Experience working with perception, attitudinal, or brand-related data Experience in media, marketing effectiveness, brand measurement, or advertising analytics Nice to have: Familiarity with index construction or composite metrics Условия ...

applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large‐scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that … making. WHAT YOU'LL BRING Essential Experience Demonstrable experience delivering machine learning or AI solutions within a large‐scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable ...

from senior and principal data scientists. Skills & Experience Experience: Solid experience in data science or a similar quantitative role, supporting and influencing product teams. Statistical & Experimentation Foundations: Sound understanding of experimentation beyond running it through a platform, including statistical power and minimum detectable effect, the difference between … inconclusive result and no effect, why peeking and post-hoc metric selection cause problems, and the common ways an experiment can be invalid. Technical & Modelling Expertise: Strong proficiency in Python and SQL, with hands-on experience of statistical analysis and experimentation, and some exposure to statistical modelling ...

product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify … trends and improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical ...

energy system transformation. The Solution Architect will: Lead the design and implementation of scalable, secure, and high-performance platforms and solutions supporting energy modelling, forecasting, and scenario analysis. Ensure alignment between business strategy, policy objectives, and technology delivery. Work across multiple domains to enable integrated, enterprise-wide capabilities. … cloud architectures (preferably Azure, incl. Azure Data Factory, Synapse, Databricks, Fabric, etc.) Experience with big data technologies (Spark, Hadoop, distributed systems) Proficiency in data modelling, especially time-series and simulation datasets Knowledge of APIs, microservices, and event-driven architectures Energy Domain Knowledge Understanding of energy systems (electricity markets, renewables ...

Quantitative Engineer to join Allocation Strategy's technology team. This is a hands‐on, early‐stage role at the intersection of software engineering, quantitative modelling, applied AI, and investment analytics . You will work closely with the company founders, including the Heads of Technology and Research, to design, build … evolve the firm's core data, analytics, and modelling platform. The role spans full‐stack development, backend systems, cloud infrastructure, data pipelines, quantitative research workflows, and production modelling systems . You will help translate advanced macro‐finance and asset‐allocation research into reliable, scalable software used by institutional ...

statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine learning, time‐series forecasting, demand prediction, optimisation, inventory management Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus Preferred Experience Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e‐commerce, or similar dynamic pricing industries Familiarity with data engineering ...

based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute … part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data ...

based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute … part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

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 ...

including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix management operation, responsible for operating a strong model risk management framework that ensures models are a trusted asset … implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will operationalise the model risk management framework in Asset Risk, ensuring model health, reporting, processing ...

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 ...

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 ...

opportunity for a Machine Learning Engineer with a strong quantitative background to work on real‐world prediction problems within financial markets. The role combines statistical modelling, machine learning research, natural language processing, and large language model applications in a production investment environment. You will develop predictive models across … issuer credit deterioration, transaction costs, liquidity forecasting, and relative‐value opportunities. Apply machine learning techniques to low signal‐to‐noise datasets where robustness and statistical discipline are critical. Conduct extensive out‐of‐sample testing and validation to ensure model reliability and performance. Evaluate model effectiveness using appropriate statistical ...

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 ...

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 ...