1,701 to 1,725 of 6,362 Analytics Jobs in London

creators of the transformation. 4. Process-Centric AI, Digital & Data Enablement Treat technology as an accelerator of process and capability; embed AI, advanced analytics, automation, and digital tools directly into streamlined, user-centric R&D workflows. Direct the Product Owner and Data Senior Lead in defining an integrated, value-driven … Frameworks: Skill in designing training, upskilling, and competence certification programs to raise workforce performance. Digital & Data Enablement: Understanding of how PLM, AI, and advanced analytics serve as enablers for modern, streamlined R&D processes. Preferred: Certification in Lean Six Sigma, Agile methodology (e.g., Scrum/SAFe), or Prosci Change Management. ...

collaborate with teams to recommend improvements to troubleshooting guides, content, and performance metrics. Bachelor's Degree Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 6+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent … experience 1+ year(s) of customer facing experience Bachelor's degree in engineering, Computer Science, Information Technology, Data Analytics/Science, Artificial Intelligence, or related field, AND at least 12 years of experience in the technology industry, cloud, technical support, and/or customer experience engineering; OR equivalent experience. 5+ ...

release governance Azure Core Platform Skills Hands‐on engineering across: Subscriptions, Management Groups, RBAC, Policy Virtual Machines, Storage, Backup, DR Azure Monitor, Log Analytics Private Endpoints and secure service exposure Implement secure‐by‐design configurations aligned to enterprise cloud controls Azure Kubernetes Service (AKS) Deploy, configure, and support AKS clusters … policies, and remediation activities Monitoring, BAU & Incident Management Support business‐as‐usual (BAU) cloud operations across environments Monitor cloud services using Azure Monitor, Log Analytics, and alerting tools Investigate incidents, perform root cause analysis, and implement fixes Maintain platform stability, uptime, and service performance Collaboration & Engineering Excellence Work closely with ...

user experience, adopting LEAN methodologies and automation technologiesStructure and implement Agile delivery methodsUnderstand and support in the implementation of relevant technologies such as: SAP Analytics CloudOracle, Hyperion, SAP BPC/SAC, S/4HANAAnaplan, Tagetik, BoardMicrosoft Power BICapabilities You'll Help DeliverData2InsightSupporting better performance management and insight, from transactional … wider business to make faster, smarter decisions through forward-looking, actionable insights. Establish the right processes, technologies, data, and skills to deliver valueEmbed analytics into performance management routines, driving accountability and decision-making at the right cadenceAI (Artificial Intelligence) enabled Financial TransformationLeveraging AI and emerging technologies to drive automation, predictive ...

functionally to mitigate risks to delivery Demonstrate the value of product across the organization through reliable, robust delivery Data-Driven Decision Making: Utilize data analytics and user feedback to inform product decisions. Implement user testing and methodologies to validate and improve solutions. Ensure robust metrics and KPIs to measure product … methodologies and creative solutions. Understanding of system architecture, APIs and data warehouses Familiarity with AI/ML technologies and prompt engineering. Knowledge of data analytics and user feedback methodologies. Desirable skills Familiarity with cross-organizational data strategies Proficiency in design and wireframing tools Experience working with technology and data science ...

Experience deploying infrastructure using automation and Infrastructure as Code, particularly Terraform. Experience designing AI-ready cloud and data platforms that support ingestion, storage, governance, analytics, model deployment, monitoring, and integration with enterprise applications. Understanding of generative AI solution patterns, such as retrieval-augmented generation, enterprise search, intelligent assistants, document processing … Deploy. Experience with Anthos, Apigee, Cloud Composer, Dataflow, Pub/Sub, Looker, Vertex AI, Model Garden, Document AI, Gemini, or other Google Cloud data, analytics, API management, AI, or generative AI services. Experience designing retrieval-augmented generation architectures using vector search, embeddings, enterprise data sources, access controls, and secure application ...

readiness is aligned with strategic adoption plan which outlines transition from legacy platform to strategic solution across the global footprint Working with the Quant Analytics team and FCD Analytics team for development and management of Machine learning, AI and rules based solution design and delivery Ensure strong processes exist ...

performance metrics. Required Qualifications 7+ years driving large-scale Data, AI, or digital transformation programmes. Proven track record delivering enterprise cloud data platforms, analytics, and machine learning solutions. Deep knowledge of data governance, cloud architecture, and the AI/ML lifecycle. Strong leadership, stakeholder management, and problem-solving skills ...

ability to shape the direction of Data 360, Salesforce’s data platform. The ideal candidate will bring deep expertise in data platforms, data analytics and MarTech, and cloud technologies, combined with a proven track record of driving revenue growth and building high-performing, resilient sales organizations. As AVP of Data … credible spokesperson who can flex between executive audiences and broad employee populations. Required Qualifications Expertise in data platforms, cloud technologies, and data analytics, with a strong ability to communicate complex technical solutions to both technical and non‐technical audiences in EMEA region Proven experience in leading second or third‐line ...

valuation capabilities are designed to support flexible product propositions, including travel experiences, upgrades, bundles, partner offers and ancillary services. Collaborate with Data and Analytics teams to define product success metrics, commercial KPIs and performance reporting requirements. Use customer behaviour, conversion, basket, search and revenue data to identify opportunities to optimise … margin, customer value and operational efficiency. Experience working closely with Engineering teams to deliver scalable, reliable and reusable product capabilities. Experience using data and analytics to monitor product performance, customer behaviour, conversion, basket value and commercial outcomes. Comfortable working with ambiguity and complexity, with the ability to create clarity, structure ...

Experience in selling digital sales propositions including (but not limited to) Application and legacy modernisation Agile, digital factory, and product‐centric delivery models AI, analytics, and data‐driven operating models Change Management Cloud and data platform modernisation Cyber Security & Data Privacy ERP transformation (Microsoft Dynamics preferred) Client & Account Growth Build … evidence of solution sales in digital transformation domains which could include: Application and legacy modernisation Agile, digital factory, and product‐centric delivery models AI, analytics, and data‐driven operating models Change Management Cloud and data platform modernisation Cyber Security & Data Privacy ERP transformation (Microsoft Dynamics preferred) Ability to conduct business ...

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 ...

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI‐driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community … clearly to both technical and non‐technical audiences. Industry and domain experience Experience in imaging, clinical technology, software‐as‐a‐service, data platforms or analytics‐led product environments. Experience in healthcare, medtech, biotech or contract research settings. Understanding of clinical evidence generation, product compliance, regulatory pathways or quality requirements relevant ...

mission is to help the innovation community make better decisions faster, with greater confidence, combining the worlds most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIPs next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex … mission is to help the innovation community make better decisions faster, with greater confidence, combining the worlds most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIPs next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex ...

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 ...

drive insights which improve the business. Since Smarkets produces a huge amount of data - including sports event data, payments information, order flow and user analytics - there are many opportunities for the team to add real business value. The team’s responsibilities currently span across three different areas: Data Engineering: development … infrastructure like Redshift or BigQuery; Data Science and Machine Learning: data exploration, ML models training and ML Ops to extract new insights from data; Analytics and Reporting: creation of data models and dashboards as well as automation of reporting pipelines for different teams, stakeholders and third-parties. In a typical ...

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 ...

period of integration to transformation. The Group is a proven innovator with its market leading strategic partnership with Microsoft enabling next-gen data, analytics and cloud infrastructure solutions. LSEG operates across the following divisions: Data & Analytics: delivering data-driven insights, workflow and products to customers simply and flexibly so they ...

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 ...

strategy? We're partnered with an AI-powered SaaS business helping enterprises unlock value from large-scale first-party customer data through AI, analytics and decision intelligence. Their platform combines Data Science, Data Engineering and application development to deliver customer growth solutions across Financial Services, Insurance, Retail and Healthcare. Having ...

data-driven marketing and technology consultancy that helps organisations better understand their customers and maximise commercial performance. Working across large-scale customer data, analytics and AI projects, they partner with well-known organisations to deliver data-led solutions. With continued project wins and growth plans, they are looking to strengthen ...

analysts Relevant experience in a data-driven and complex environment with limited guidance Understanding of event data and tools such as Mixpanel, Google Analytics, Amplitude, or similar Strong communication and stakeholder management skills Ability to translate data into compelling narratives Ability to take work beyond analysis and deliver results Nice ...

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 ...

functions! The Company This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers; with significant investment in technology, data and AI, the business continues to grow ...