9 of 9 Statistical Modelling Jobs in the North 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 ...

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 ...

this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages.The ideal candidate will have endless curiosity and can pair a global mindset … identify and calculate features that can be leveraged by multiple use cases as well as models.Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business ...

with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation ...

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 ...

SalesforceAnalyticsandapprovedAItools.Createexecutive-readyreporting,presentations,trainingmaterialsanddashboardadoptionprogrammes.Influenceseniorstakeholdersacrossmultiplecountriesandfunctionstodriveinsight-ledactionandmeasurableoutcomes.WhatWeAreLookingForRequiredBachelor'sdegreeinBusiness,Finance,Economics,Engineering,DataScience,InformationSystemsorrelateddiscipline.SignificantexperienceinBusinessIntelligence,CommercialAnalytics,SalesOperations,RevenueOperationsorFinanceAnalytics.AdvancedPowerBI,PowerQueryanddatavisualisationexpertise.ExperienceworkingwithSalesforceorasimilarCRMplatform.Stronganalyticalandproblem-solvingskillswithexcellentcommercialacumen.Abilitytocommunicatecomplexdataclearlytoexecutiveandnon-technicalaudiences.Provenstakeholdermanagementexperiencewithinamatrixorganisation.FluentEnglish.BeneficialMaster'sdegreeorMBA.ExperienceinCommercialExcellence,SalesEnablementorSalesTransformation.Backgroundinbuildingtechnologies,industrial,services,controlsorsolution-basedB2Benvironments.KnowledgeofSQL,predictiveanalytics,statisticalmodelling,customersegmentationoropportunityscoring.Experiencewithdatagovernance,Leanorcontinuousimprovementmethodologies.AdditionalEuropeanorEMEAlanguageskills.Experience driving dashboard adoption andanalyticstransformationacrossmultiplecountriesorbusinessunits.SummaryLocation: Manchester-Manchester-United Kingdom; London-London-UK; Birmingham-Midlands-United KingdomType: Full time ...

Lead product analytics projects from problem definition through to recommendation Design, analyse and evaluate A/B tests and experimentation frameworks Apply statistical techniques and modelling to solve product challenges Analyse customer and user behaviour using rich event-level data Partner with Product Managers, Engineers, Marketing and senior … Skills & Experience Strong SQL skills Python (PySpark experience is beneficial) Experience in Product Analytics Strong knowledge of A/B testing and experimentation Excellent statistical analysis skills, with exposure to modelling techniques Experience analysing behavioural or digital product data Ability to communicate insights to both technical ...