1,751 to 1,775 of 6,131 Analytics Jobs in England

both nationally and internationallyKey responsibilities:Lead the FCA's Agentic AI and Data Science Research function, setting the strategic direction for AI research, advanced analytics and emerging technologiesDefine and shape the FCA's medium and long-term approach to AI and Data Science, ensuring emerging technologies support smarter regulation, regulatory … leading specialist technical, analytical, AI, data science or comparable multidisciplinary teams within a complex organisationStrong understanding of AI, machine learning, data science, and advanced analytics, including associated opportunities, limitations and risksExperience of developing governance frameworks, standards, operating models or strategic roadmaps supporting the safe, ethical, and proportionate ...

bring: Strong experience designing and delivering production-grade data solutions Develop, and maintain Teradata-based data solutions to support enterprise-scale data warehousing and analytics platforms. Proficient in Teradata utilities such as BTEQ, Fast Load, Multi Load, TPT, and experienced with Viewpoint, TD Stats, and TDWM. Strong knowledge of data … Scala Experience working with large-scale data platforms, data lakes or warehouses A good understanding of modern data concepts like Lakehouse, ingestion and analytics Experience across the full delivery lifecycle, from design to support A mindset focused on quality, simplicity and continuous improvement The ability to break down complex problems ...

sense of humorPreferred AttributesBackground in technology, computer engineering, computer science, or data science preferred Experience in the consumer packaged goods or data analytics industry Experience with patent strategy or IP licensing in AI or software/SaaS Prior exposure to national security law or cross-border data compliance AIGP … bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. Additional InformationOur BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)NIQ may utilize ...

with diverse backgrounds, the following specific attributes are a useful guide to the level of performance expected: Proven experience supporting adoption of AI, automation, analytics, or digital platforms within a business environment. Strong ability to understand business processes and identify opportunities to improve speed, quality, consistency, or scale through AI.Good … where applicable, must have a valid work or study permitJob Location150 Cheapside, 1st Flr,LondonEmployment TypeRegularWeekly Hours35SkillsAI Adoption, AI Enablement, AI Platforms, Analytical Thinking, Analytics, Application Development, Business Decisions, Business Process Automation, C++ Programming Language, C Sharp (Programming Language), Data Science, Digital Transformation, Emerging Technologies, Information Technology Project Management, Infrastructure ...

Platform Delivery Employment Type: Fixed Term - Full Time Location: London Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. … Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work ...

within Microsoft Azure environments Strong knowledge of modern data platforms, data architectures and integration patterns Experience with Azure Databricks or similar modern data and analytics platforms Good understanding of Azure data and integration services and how they fit within wider enterprise architectures Strong understanding of application and systems integration, including … other regulated environments Experience working within secure or highly governed environments Experience with Azure data and integration technologies such as Data Factory, Synapse Analytics, Data Lake Storage, Functions, Logic Apps or API Management Experience with Azure Databricks in large-scale enterprise environments Knowledge of enterprise application and data integration Relevant ...

Skills and Competencies 3+ years of experience delivering software implementations, customer trials or technology adoption programs, preferably within financial services, financial software, data or analytics Strong client-facing delivery experience, including requirements gathering, solution configuration, stakeholder management, onboarding and training Working knowledge of RESTful application programming interfaces, JSON, data integration … Preferred: Experience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms or embedded data solutions Preferred: Familiarity with basic coding and analytics principles, including HTML, Python, JavaScript or data visualisation tools Demonstrated proficiency in artificial intelligence concepts, with hands on experience using AI tools to streamline workflows ...

Data and sitting on the Data Leadership Team, you lead the analysis, architecture, design and development of our Data and Analytics estate. You own the Data Platform strategy and the multi-phased roadmap to our Future State Data Platform, and you are the key technical team member advising … migration architecture, transition states, historical data migration and legacy decommissioning. Lead the architecture, design and development of scalable cloud data warehouse, lakehouse, streaming and analytics solutions. Define ingestion, transformation and orchestration patterns, naming and structural conventions, and the publication boundary between Product Engineering and Data Engineering. Identify, mitigate and resolve ...

with diverse backgrounds, the following specific attributes are a useful guide to the level of performance expected: Proven experience supporting adoption of AI, automation, analytics, or digital platforms within a business environment. Strong ability to understand business processes and identify opportunities to improve speed, quality, consistency, or scale through AI. … study permit Job Location 150 Cheapside, 1st Flr,London Employment Type Regular Weekly Hours 35 Skills AI Adoption, AI Enablement, AI Platforms, Analytical Thinking, Analytics, Application Development, Business Decisions, Business Process Automation, C++ Programming Language, C Sharp (Programming Language), Data Science, Digital Transformation, Emerging Technologies, Information Technology Project Management, Infrastructure ...

through to feature engineering, model training and deployment. You'll also be expected to offer broader engineering support, spotting and shipping improvements across our analytics stack wherever they're needed. Your responsibilities will include: Exploring new ideas in predictive maintenance and condition monitoring, and turning them into reliable, production-ready … which problems are worth your time and which aren't It's also a bonus if you have: Experience in predictive maintenance or predictive analytics Experience with cloud platforms, ideally Azure, or otherwise AWS or GCP Experience with MongoDB or other NoSQL databases Experience with unsupervised methods such as clustering ...

secure, performant, and aligned to the Landing Zone design. Observability and Operations: Implement and maintain monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Sentinel. Drive a culture of observability, ensuring platform health, performance, and security events are proactively tracked and acted upon. Governance and Documentation: Actively develop … learn, evaluate, and adopt emerging technologies and engineering practices where they provide measurable benefit to the organisation. Experience configuring and operating Azure Monitor, Log Analytics workspaces, and Sentinel for platform observability and security monitoring. Proficiency in PowerShell and/or Azure CLI for automation, scripting, and configuration management. A strong ...

opportunities, risks, trends, ethics and investment priorities. - Shape LPPAs AI operating model, with clear ownership, governance and accountability. - Identify AI, automation and analytics opportunities that improve efficiency, colleague experience and member and client outcomes. - Monitor AI developments, regulation and industry expectations, translating them into practical recommendations. - Partner with business … programmes or organisational adoption initiatives. - Experience working in pensions, financial services, public sector, regulated environments or member-focused service organisations. - Understanding of data warehousing, analytics, predictive modelling or AI-enabled decision support. ...

Data products, to enable clear direction and effective evaluation of SAP reporting capability design and development. Strategic understanding of SAP data and analytics roadmap. Validated experience in driving continuous improvements and leading SAP reporting development and support in a large organization. Experienced in stakeholder management and relationship building. Skilled … lead a high‐performing reporting capability from the ground up, setting the standards, vision and methodologies that will define the future of enterprise analytics across the business.#LI-JW1Our 10x MindsetAt Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. ...

solutions. Establish regular stakeholder communication cadences and reporting mechanisms to maintain transparency on product progress, risks, and business impact across the organisation. Leverage product analytics and data-driven insights to inform prioritisation decisions, validate product hypotheses, and continuously optimise user experience and business outcomes. Qualifications Required: Demonstrated experience leading product … advanced degree in IT, Engineering, Computer Science, Life Sciences, or a related field—or equivalent practical experience. Preferred Proven experience in product analytics, data-driven decision-making, and continuous optimisation of user experience and business outcomes. Demonstrated capability in budget allocation, resource planning, and financial performance management to ensure optimal ...

policy, regulation and technical considerations when making prioritisation decisions. Define success measures, KPIs, and product outcomes Monitor product performance and use research, service metrics, analytics, and user feedback to drive continuous improvement and shape product priorities. Track benefits realisation and ensure investment delivers measurable value. Be technology savvy and have … facilitation skills. Experience translating business and user needs into product requirements. Strong understanding of Agile and scaled Agile delivery frameworks. Ability to use data, analytics, and user research to inform decision making. You have a minimum of 5 year’s experience in a similar role at a consumer-focused company ...

considered in lieu of a formal degree Responsibilities Leads product management for an enterprise Knowledge Graph platform, connecting data and engineering teams to power analytics, search, and next-generation GenAI applications. Advance Moody's Risk Insights business to build solutions that address new and existing problems across the organization Lead … this role will include scaling a Knowledge Graph which will form the foundational data infrastructure that unifies and contextualizes information across the organization, powering analytics, search, and next-generation GenAI and retrieval-augmented generation applications. By joining our team, you will be part of exciting work which strives to leverage ...

charities and causes that matter to you Awards to recognize key service milestones About the business As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information … vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare ...

Type: Full Time Contract type: Permanent Application closing date: 19th October 2026 We are looking for aMachine Learning Engineer to join the Data and Analytics Team. This is a hybrid role, working between home and our London office, which is based in Angel. The Role You’ll be the engineer … defined. Pragmatic: You favour the simplest robust solution over unnecessary complexity. Collaborative: You enjoy working across Data Science, Data Engineering and Analytics and can explain technical trade-offs clearly. Quality-focused: You care about reliability, maintainability and leaving good documentation behind for the next person. Curious: You want to understand ...

right data. Turn messy questions into clear, evidence-based answers. What we’re looking for 5+ years in data engineering and/or analytics on production systems. Strong SQL and Python, with experience in data warehouses and pipeline tooling. Able to both build the plumbing and interpret what the numbers ...

first few months. Help define, recruit and mentor the team as the function grows. Required Qualifications Significant experience as a senior data or analytics engineer, comfortable owning architecture and making source-of-truth decisions independently. Strong hands-on data skills: fluent SQL, solid data modelling, and a modern data stack. … with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non-technical stakeholders on shared ...

planning, sprint reviews, retrospectives and look ahead meetings. Ensure alignment of all work undertaking to achieve the agreed OKRs. Define and track KPIs, usage analytics, and user feedback to address opportunities to remove friction and increase user activity on the platform. Builds effective relationships to ensure the success … creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help ...

developing robust data observability systems, and embedding governance and GDPR compliance principles across the data lifecycle. You’ll collaborate with product engineering, data platform, analytics, and legal teams to build confidence in data as a product - one that’s reliable, auditable, and actionable. Responsibilities Define and execute the vision … privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers and analysts, fostering a culture of data stewardship and accountability. ...

implementation for our foundational data platform — from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems … data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience ...

Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.RDBMS: Knowledge of PostgreSQL is a plus.Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management. #J-18808-Ljbffr ...

working, with flexibility available where it's genuinely needed. About ThoughtSpotThe world's most innovative companies turn to ThoughtSpot's AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover … believe you're a strong match, we encourage you to apply. What Makes ThoughtSpot a Great Place to Work? ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities ...