1,776 to 1,800 of 6,074 Analytics Jobs in England

note visa sponsorship is not currently available for this position. We are looking for a Senior Full Stack Data Scientist to join our Data & Analytics team at ClearScore. Data Scientists play a key role in our business, driving strategy and decision-making at all levels, which ultimately benefits our users … these connect to our users’ financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models ...

technology disciplines to deliver business outcomes at scale. Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered manufacturing analytics, digital work instructions, connected worker and digital twin capabilities. Develop Capgemini’s offerings for Physical and Agentic AI at our manufacturing clients. Drive client value … development through to implementation and value realisation. Strong knowledge of Smart Manufacturing and Industry 4.0 technologies including Manufacturing Execution Systems (MES), Industrial IoT, advanced analytics, AI, digital work instructions and connected worker solutions. Demonstrable track record of delivering measurable improvements in productivity, lead time, quality, operational efficiency and cost competitiveness. ...

Change and Operations behind a single, shared vision. Data-driven and experimentation-led; fluent in funnels, cohorts, attribution, A/B testing and behavioural analytics; sets metrics and closes the loop. Strategic and systems-thinker who can hold the long-arc view while making sharp, near-term prioritisation calls. Regulatory … regulated environment with Consumer Duty (or equivalent) embedded across decision-making. Strong commercial and analytical skills – fluent with business case shaping, KPI definition, digital analytics and experimentation frameworks. Agile delivery expertise; experience running enduring cross-functional squads end-to-end (discovery to live). Excellent stakeholder management and senior communication ...

Change and Operations behind a single, shared vision. Data-driven and experimentation-led; fluent in funnels, cohorts, attribution, A/B testing and behavioural analytics; sets metrics and closes the loop. Strategic and systems-thinker who can hold the long-arc view while making sharp, near-term prioritisation calls. Regulatory … regulated environment with Consumer Duty (or equivalent) embedded across decision-making. Strong commercial and analytical skills – fluent with business case shaping, KPI definition, digital analytics and experimentation frameworks. Agile delivery expertise; experience running enduring cross-functional squads end-to-end (discovery to live). Excellent stakeholder management and senior communication ...

trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business needs Led and delivered solutions … building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure ...

technology disciplines to deliver business outcomes at scale. Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered manufacturing analytics, digital work instructions, connected worker and digital twin capabilities. Develop Capgemini’s offerings for Physical and Agentic AI at our manufacturing clients. Drive client value … development through to implementation and value realisation. Strong knowledge of Smart Manufacturing and Industry 4.0 technologies including Manufacturing Execution Systems (MES), Industrial IoT, advanced analytics, AI, digital work instructions and connected worker solutions. Demonstrable track record of delivering measurable improvements in productivity, lead time, quality, operational efficiency and cost competitiveness. ...

data management requirements are adhered to as part and parcel of change programmes Coordinate across the Data Office Pillars (Data Product Management & Architecture, Data Analytics, Information Governance and Data Governance) to ensure that all Data impacts are considered and managed in the programmes so that the data can be relied … data management requirements are adhered to as part and parcel of change programmes Coordinate across the Data Office Pillars (Data Product Management & Architecture, Data Analytics, Information Governance and Data Governance) to ensure that all Data impacts are considered and managed in the programmes so that the data can be relied ...

technology disciplines to deliver business outcomes at scale.* Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered manufacturing analytics, digital work instructions, connected worker and digital twin capabilities.* Develop Capgemini’s offerings for Physical and Agentic AI at our manufacturing clients.* Drive client value … development through to implementation and value realisation.* Strong knowledge of Smart Manufacturing and Industry 4.0 technologies including Manufacturing Execution Systems (MES), Industrial IoT, advanced analytics, AI, digital work instructions and connected worker solutions.* Demonstrable track record of delivering measurable improvements in productivity, lead time, quality, operational efficiency and cost competitiveness. ...

start from the problem statement and work backward to the technology. Your deep functionalexpertise in market data, portfolio/index management, and financial data analytics enables you to designplatforms that meet both functional and non-functional requirements. You will be at the forefront of our AI transformation, championing the adoption … trade-offs between cost,security, scalability, testability, and maintainability Market data systems experience: Significant background in market data, portfolio/indexmanagement, or financial data analytics Real-time systems knowledge: Understanding of real-time systems and/or cloud-based real-timemethodologies AI advocate: Hands-on experience using AI technologies ...

Bristol, United Kingdom | Posted on 01/12/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Mandatory Skills (Hands-on Experience Required): Spring Cloud Microservice Design ...

platforms. Set expectations for resilience, observability, performance, failure handling and ownership. Ensure clear system-of-record, master-data and data-responsibility boundaries. Data, AI & Analytics ArchitectureDefine data architecture across Dataverse, enterprise data platforms, reporting and analytics services. Support customer, reference and master-data strategies, including quality, lineage, retention and access. ...

This is a hands-on, high-ownership role where you'll define the data architecture, set engineering standards and build systems that power product analytics and modern AI capabilities. Start-up or Scale-up experience required coupled with a computing degree from a Russell Group university. What ...

they're looking for The ideal candidate will have: Proven experience leading complex, multi-workstream Data or AI programmes. Experience taking AI or advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI. Experience ...

issues proactively while reducing manual intervention. Develop and maintain operational runbooks, escalation protocols, and incident playbooks to strengthen resilience. Partner with data engineering and analytics teams to align operational strategy with business goals and future platform roadmap. Skills Required: Operational Leadership: Proven track record in leading operations for large-scale ...

What they're looking forThe ideal candidate will have: Proven experience leading complex, multi-workstream Data or AI programmes. Experience taking AI or advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI.Experience leading ...

Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL).Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments ...

Data Director. As Data Architect, you will be responsible for defining and delivering the group data architecture strategy that underpins BI and self-service analytics capabilities across all operating units. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure ...

data models to ensure accuracy and reliability. Stay updated on industry trends and advancements in data science techniques. Work as part of a collaborative analytics team to meet business objectives. Profile A successful Data Scientist should have: Strong analytical and problem-solving skills. Experience with data analysis, modelling, and visualisation ...

Buildand support data products within our modern data platform. Designand deliver solutions with engineers, scientists and product teams Developand optimise data pipelines across the analytics platform Integratedata from varied sources with strong quality standards Maintainorchestration, monitoring and performance of data components Improveengineering processes across the wider data community Promotehigh coding ...

closely with business and technical stakeholders to understand data requirements Establish data engineering best practices and standards Support the creation of scalable reporting and analytics capabilities Contribute to the overall data architecture and platform strategy Essential Experience Strong experience as a Data Engineer Proven track record delivering Microsoft Fabric implementations ...

will be entitled to our gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in data and analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) . ...

integrity and optimisation of critical financial data. Your work will span everything from supporting enterprise market data platforms such as Bloomberg to delivering automation, analytics and strategic projects using Python and SQL. You'll have the autonomy to identify improvements, lead initiatives and develop specialist expertise in the areas that ...

Reading, United Kingdom | Posted on 29/10/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Job Summary We are seeking a highly skilled Identity Engineer ...

preferably using Jitterbit or similar iPaaS solutions (e.g. Mulesoft) Salesforce experience (ADM201) preferred Significant experience as a Data professional, ideally from a Systems or Analytics background, with excellent knowledge of Business Intelligence/Management Information best practices. Excellent knowledge of data management and decision support systems. This should include data ...

metrics. Present Findings: Deliver data-driven recommendations to non-technical stakeholders and senior management. Qualifications Experience: 2+ years of professional experience in a data analytics or business intelligence role. Technical Skills: Strong proficiency in SQL and Excel; experience with Python ,Google Cloud and BigQuery is a plus. Visualization Tools: Hands ...