26 to 50 of 190 Statistical Modelling Jobs in England

validated, 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 … with the 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 BI.Competent ...

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 ...

Generative AI applications leveraging LLMs, retrieval systems and agentic workflows.Evaluate emerging AI technologies and recommend practical applications across the organisation.Data Science & AnalyticsPerform 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 drive decision making … data-driven decision making.WHAT YOU'LL BRING:Essential ExperienceDemonstrable 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 analytical outcomes.Experience ...

management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR. Key Responsibilities Data Analysis & Modelling … Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models are explainable ...

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 ...

management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR.Key ResponsibilitiesData Analysis & ModellingConduct in-depth exploratory … data analysis to identify trends, patterns, and anomalies across diverse datasets.Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP).Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments.Ensure models are explainable, validated, and compliant with internal governance ...

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 ...

will develop advanced analytical solutions that identify future risks, opportunities, and outcomes. Key Responsibilities Develop predictive and prescriptive models using machine learning and statistical techniques. Analyse large and complex datasets to identify patterns, trends, risks, and performance opportunities. Work with stakeholders to define business problems, test hypotheses, and design … data structures for analytics and machine learning use cases. Monitor model performance and recommend improvements as business needs evolve. Document methodologies, data sources, and modelling approaches in line with governance standards. Requirements Experience delivering data science and predictive analytics solutions within a commercial or operational environment. Strong Python ...

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 ...

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 ...

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 ...

detail. Analytical mindset with the ability to identify trends, patterns, and insights from data. Knowledge of market analysis, business performance analysis, forecasting, or statistical modelling would be beneficial. Familiarity with R, Power BI, Tableau, or other data visualization and analytical tools would be considered an advantage. Good research ...

retraining, ensuring alignment with AECOM’s global standards.Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.Design ...

retraining, ensuring alignment with AECOM’s global standards.Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.Design ...

into clear business insight.Proven experience delivering data and analytics solutions in agile environments, with senior-level autonomy on complex builds.Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise.Strong SQL and data modelling skills, building scalable and performant solutions.Experience with modern data platforms (Databricks lakehouse, Azure … datasets with strong data-quality and validation practices.Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively.Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts.Insurance or financial services experience (CII or working towards, desirable).If you are excited about this role but your ...

business insight. Proven experience delivering data and analytics solutions in agile environments, with senior-level autonomy on complex builds. Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise. Strong SQL and data modelling skills, building scalable and performant solutions. Experience with modern data platforms (Databricks … strong data-quality and validation practices. Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively. Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts. Insurance or financial services experience (CII or working towards, desirable). If you are excited about this role ...

particularly in utilities or telemetry, is valued but not essential. Familiarity with data platforms, governance, and quality management is desirable, as is knowledge of statistical modelling, predictive analytics, or machine learning. A degree in a quantitative field such as Engineering, Computer Science, Mathematics, or Statistics is preferred.WHAT ...

self-service reporting, early warning systems, customer segmentation and scoring, credit risk insights, or personalisation. • Strong understanding of AI and data science techniques, including statistical modelling, logistic regression, NLP, LLMs, Generative AI, and Agentic AI. • Strong track record of applying Agile product development methodologies. • Customer-centric mindset with ...

self-service reporting, early warning systems, customer segmentation and scoring, credit risk insights, or personalisation. • Strong understanding of AI and data science techniques, including statistical modelling, logistic regression, NLP, LLMs, Generative AI, and Agentic AI. • Strong track record of applying Agile product development methodologies. • Customer-centric mindset with ...

core analytical models within the energy sector. This is a hands-on technical leadership role, combining deep expertise in machine learning and time series modelling with the ability to lead teams, shape technical direction and deliver complex data science initiatives from concept through to production.You will be responsible … leading the design, development and optimisation of advanced statistical and machine learning models that support energy planning, forecasting and strategic decision-making. Alongside technical delivery, you will manage stakeholder relationships, guide cross-functional teams across data, engineering and business domains, mentor junior data scientists, and ensure projects are delivered ...

discuss flexible working!Top 3 skills needed for this role:Highly developed analytical and problem-solving capability with good attention to detail. Proven Statistical Modelling CapabilityAdvanced Programming & Visualisation SkillsWhat this role is all about:As a Data Analyst within the VitalityLife Actuarial team, this role plays … data workflows, ensuring outputs remain accurate, reliable and fit for purposeDevelop scalable analytical solutions using R, Python and SQL to improve data accessibility, modelling capability and operational efficiencyWork collaboratively with Actuarial, Data Science, Business Intelligence and Data Engineering teams to deliver high-quality data products and business insightsIdentify opportunities ...

products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role will … develop bespoke AI solutions.Drive automation and optimisation of business workflows, helping clients to drive efficiency.Connect to your skills and professional experience EssentialStrong understanding of statistical modelling, supervised/unsupervised machine learning algorithms.Can explain how the models work to non-technical audiences, advocating for interpretability and audit best practices.Experience ...

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 ...

data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while balancing ...