1,451 to 1,475 of 1,669 Analytics Jobs in London

role in designing, building, and validating marketing mix models to inform strategic marketing decisions. You will work closely with consultants, client stakeholders, and analytics teams to translate complex data into clear, actionable recommendations. Key Responsibilities Design and build Marketing Mix Models to measure marketing effectiveness and ROI Analyse large, complex … technical stakeholders Collaborate with consulting teams to deliver high-quality client outputs Required Skills & Experience Proven experience as an MMM Data Scientist or Marketing Analytics Consultant Strong understanding of marketing mix modelling, attribution, and causal inference Hands-on experience with Python and/or R for statistical modelling Strong ...

looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation … productionised analytical solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine ...

looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation … productionised analytical solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine ...

week on site – possible international travel in the later stages of the project Role Purpose The Data Scientist will develop advanced models and analytics to unlock value from operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/… ensure data readiness for modeling. Communicate findings and recommendations to business stakeholders. Continuously improve models based on feedback and operational performance. Develop models and analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong ...

week on site – possible international travel in the later stages of the project Role Purpose The Data Scientist will develop advanced models and analytics to unlock value from operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/… ensure data readiness for modeling. Communicate findings and recommendations to business stakeholders. Continuously improve models based on feedback and operational performance. Develop models and analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong ...

supporting C#/.NET Core/MVC web applications with SQL Server backends and Azure Blob Storage. Advanced Azure diagnostics (Application Insights, Log Analytics, Kusto Query Language). Proficient in SQL for investigation and remediation. Scripting and automation skills in PowerShell and/or C#. Understanding of Azure components … Services, VMs, SQL DB, Blob Storage, scaling strategies. Experience in capacity planning, SLOs, and error budget management Azure Monitor, Application Insights, Log Analytics, Azure Data Explorer (KQL), Azure Functions, Logic Apps, PowerShell, C#, SQL Server Management Studio, Azure Storage Explorer, Power BI (for reporting). The Senior Azure Support Engineer ...

supporting C#/.NET Core/MVC web applications with SQL Server backends and Azure Blob Storage. Advanced Azure diagnostics (Application Insights, Log Analytics, Kusto Query Language). Proficient in SQL for investigation and remediation. Scripting and automation skills in PowerShell and/or C#. Understanding of Azure components … Services, VMs, SQL DB, Blob Storage, scaling strategies. Experience in capacity planning, SLOs, and error budget management Azure Monitor, Application Insights, Log Analytics, Azure Data Explorer (KQL), Azure Functions, Logic Apps, PowerShell, C#, SQL Server Management Studio, Azure Storage Explorer, Power BI (for reporting). The Senior Azure Support Engineer ...

ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI strategy, agentic ...

ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI strategy, agentic ...

ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI strategy, agentic ...

ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI strategy, agentic ...

operating models. You will lead structured discovery activities, evaluate architectural options, and develop clear, pragmatic recommendations that position the organisation for long-term analytics and AI enablement. Key Responsibilities Discovery & Assessment Lead interviews and working sessions with internal stakeholders and selected external data partners Assess existing data workflows, integrations … integration needs Data Architecture & Platform Design Design and compare options for a secure, scalable, and cost-effective modern data architecture Evaluate cloud data platforms, analytics environments, and API-led data access patterns Define high-level governance, metadata, privacy, and compliance frameworks Cost & Operational Efficiency Analyse cost, performance, and operational trade ...

operating models. You will lead structured discovery activities, evaluate architectural options, and develop clear, pragmatic recommendations that position the organisation for long-term analytics and AI enablement. Key Responsibilities Discovery & Assessment Lead interviews and working sessions with internal stakeholders and selected external data partners Assess existing data workflows, integrations … integration needs Data Architecture & Platform Design Design and compare options for a secure, scalable, and cost-effective modern data architecture Evaluate cloud data platforms, analytics environments, and API-led data access patterns Define high-level governance, metadata, privacy, and compliance frameworks Cost & Operational Efficiency Analyse cost, performance, and operational trade ...

Core HR, and exposure to other Oracle HCM Cloud modules. Key Responsibilities Lead global Oracle HCM Workforce Compensation implementations and enhancements, exploiting features and analytics for improved decision-making. Configure and optimise compensation modules; manage annual and quarterly cycles. Ensure seamless integration with Core HR, payroll, benefits, and other … experience in Oracle HCM Cloud Compensation. Deep expertise in Oracle HCM Cloud Workforce Compensation and Core HR; certification preferred. Experience with AI-enabled features, analytics, and automation in Oracle HCM Cloud. Exposure to additional Oracle HCM Cloud modules (e.g., Talent Management, Benefits, Payroll). Strong project leadership, stakeholder management ...

data roadmaps. Working closely with their Architecture and Technology capability teams, you’ll translate business goals into actionable blueprints that drive modernization, self-service analytics, and trusted data foundations. This role combines strategic leadership with deep architectural understanding, enabling clients to accelerate digital and AI transformation through strong data design … Master’s degree, or 12–15+ years of relevant experience in data management, architecture, and consulting. 10+ years of professional experience in data and analytics, including architecture or solution design for enterprise platforms. 3+ years of experience in Banking or Financial Services (preferred); Insurance and Healthcare experience a plus. Outstanding ...

data roadmaps. Working closely with their Architecture and Technology capability teams, you’ll translate business goals into actionable blueprints that drive modernization, self-service analytics, and trusted data foundations. This role combines strategic leadership with deep architectural understanding, enabling clients to accelerate digital and AI transformation through strong data design … Master’s degree, or 12–15+ years of relevant experience in data management, architecture, and consulting. 10+ years of professional experience in data and analytics, including architecture or solution design for enterprise platforms. 3+ years of experience in Banking or Financial Services (preferred); Insurance and Healthcare experience a plus. Outstanding ...

Core HR, and exposure to other Oracle HCM Cloud modules. Key Responsibilities Lead global Oracle HCM Workforce Compensation implementations and enhancements, exploiting features and analytics for improved decision-making. Configure and optimise compensation modules; manage annual and quarterly cycles. Ensure seamless integration with Core HR, payroll, benefits, and other … experience in Oracle HCM Cloud Compensation. Deep expertise in Oracle HCM Cloud Workforce Compensation and Core HR; certification preferred. Experience with AI-enabled features, analytics, and automation in Oracle HCM Cloud. Exposure to additional Oracle HCM Cloud modules (e.g., Talent Management, Benefits, Payroll). Strong project leadership, stakeholder management ...

Core HR, and exposure to other Oracle HCM Cloud modules. Key Responsibilities Lead global Oracle HCM Workforce Compensation implementations and enhancements, exploiting features and analytics for improved decision-making. Configure and optimise compensation modules; manage annual and quarterly cycles. Ensure seamless integration with Core HR, payroll, benefits, and other … experience in Oracle HCM Cloud Compensation. Deep expertise in Oracle HCM Cloud Workforce Compensation and Core HR; certification preferred. Experience with AI-enabled features, analytics, and automation in Oracle HCM Cloud. Exposure to additional Oracle HCM Cloud modules (e.g., Talent Management, Benefits, Payroll). Strong project leadership, stakeholder management ...

Core HR, and exposure to other Oracle HCM Cloud modules. Key Responsibilities Lead global Oracle HCM Workforce Compensation implementations and enhancements, exploiting features and analytics for improved decision-making. Configure and optimise compensation modules; manage annual and quarterly cycles. Ensure seamless integration with Core HR, payroll, benefits, and other … experience in Oracle HCM Cloud Compensation. Deep expertise in Oracle HCM Cloud Workforce Compensation and Core HR; certification preferred. Experience with AI-enabled features, analytics, and automation in Oracle HCM Cloud. Exposure to additional Oracle HCM Cloud modules (e.g., Talent Management, Benefits, Payroll). Strong project leadership, stakeholder management ...

have excellent contract job opportunity for Data Scientist for our leading airline client. Role Purpose The Data Scientist will develop advanced models and analytics to unlock value from our client's operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise … ensure data readiness for modeling. Communicate findings and recommendations to business stakeholders. Continuously improving models based on feedback and operational performance. Develop models and analytics that can be generalised and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong ...

team member to be part of this journey. We are seeking a commercially driven Business Development Consultant with a strong track record in data, analytics, cloud, and AI/ML domains. This role is primarily focused on new business acquisition, strategic account growth, and senior stakeholder engagement , rather than hands … delivery support will be provided by our dedicated Delivery Team. Key Responsibilities Business Development & Market Expansion Drive all new business activity across data, cloud, analytics, and AI/ML markets, securing new logos and expanding market share across enterprise, mid-market, and scale-up clients. Lead client outreach, capability presentations ...

team member to be part of this journey. We are seeking a commercially driven Business Development Consultant with a strong track record in data, analytics, cloud, and AI/ML domains. This role is primarily focused on new business acquisition, strategic account growth, and senior stakeholder engagement , rather than hands … delivery support will be provided by our dedicated Delivery Team. Key Responsibilities Business Development & Market Expansion Drive all new business activity across data, cloud, analytics, and AI/ML markets, securing new logos and expanding market share across enterprise, mid-market, and scale-up clients. Lead client outreach, capability presentations ...

reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Product Data Scientist will have the following skills and experience: Experience within Product Analytics/Product Data Science Excellent understanding and previous practical implementation of a/b testing and experiment design/frameworks Experience with SQL, Python … this, you will receive an extensive benefits package and the opportunity to work in a great working culture and environment steering the direction of analytics for the company. HOW TO APPLY Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page. ...

media. Collaborate on landing page optimisation, A/B testing, and funnel conversion improvements. Own campaign tracking, reporting, and analysis of already set up analytics suite Mixpanel, and Hotjar along with basic implementation of GA to identify growth opportunities. Partner with content and design teams to create compelling ad creatives … Reporting. Data-driven mindset strong analytical and reporting skills. Hands-on experience with Google Ads, Meta Ads Manager, Taboola, LinkedIn Ads, and Google Analytics (GA4). Experience with A/B testing tools, landing page builders, and CRM/email automation platforms. Willingness to own overall paid/growth marketing ...

Sales, Product, Marketing, Finance, and Operations on priority initiatives Candidate Profile 10+ years’ experience in Sales Operations, Revenue Operations, or a closely related commercial analytics role Proven track record operating in PE-backed, performance-driven environments , with direct exposure to board-level and investor reporting Deep understanding of enterprise … performance reporting Comfortable working to strict operating cadences , predictable reporting cycles, and data-led accountability Advanced hands-on experience with Salesforce and sales analytics/BI tooling Highly analytical, structured thinker able to turn complex data into clear executive insight Confident partner to senior Sales leadership, Finance, and Executive teams ...