4,526 to 4,550 of 12,979 Analytics Jobs

London (Hybrid) The Mission: Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power … help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance ...

RoleWe’re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business.This is a great opportunity for someone who enjoys developing people as much as solving complex technical … businessSupporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data qualityPartnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutionsHelping define and improve data engineering standards around testing, monitoring, documentation, deployment ...

successfully adopted and operationalized.Maintain stakeholder momentum and manage expectations gracefully during long delivery cycles, keeping partners excited and bought into the long-term analytics vision.Advocate passionately for the analytics function, leveraging high demand for insights to build compelling cases for expanded support.Lead, mentor, and protect a lean team of technical … leadership.Ability to manage a high volume of incoming requests, establish clear operational triage frameworks, and comfortably manage stakeholder expectations.A solid understanding of how product analytics and reporting structures operate (e.g., data flows, modeling, or visualization tools) to effectively translate technical needs, though hands-on coding/modeling is not required.Deep ...

growing client demand for advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges … focusing on risk, compliance, and operational efficiency Design and deploy AI-enabled solutions for use cases such as credit scoring, fraud detection, and customer analytics Implement AI governance frameworks including compliance with Basel III, GDPR, and ethical AI practices Lead deployment of MLOps pipelines to transition models from development ...

leading through ambiguity, shaping roadmaps, and helping teams deliver high-quality outcomes in an evolving AI-enabled environment?***About our Team**The Enterprise Data & Analytics (EDA) team’s vision is a future where every colleague has trustworthy data they confidently use to streamline processes, drive smarter decisions and accelerate growth. … help you fit everything in and work when you are the most productive.**About the Business**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 ...

London, United Kingdom | Posted on 03/11/2025 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 Role Overview The Associate Software Developer – Adobe DXP will … Service . Strong knowledge of Java, JSP, Sling, OSGi, and Sightly/HTL . Experience with Adobe Assets, Adobe Marketo , and familiarity with Adobe Analytics and Adobe Target (advantageous). Strong understanding of web application security, scalability, and performance optimization . Experience migrating legacy content into AEM, including scripting ...

whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.Our … clients track carefully. By using technology, domain expertise, and relationships with Issuers we aim to be the best data and analytics platform in the market.What’s the role We are looking for a highly motivated and driven Team Leader to support coverage of EMEA sovereign debt data. You will ...

Contract Duration: 12 months Pay rate is £18.75 per hour PAYE (or £25.50 per hour Umbrella – Inside IR35) Candidate Requirements: Demonstrable Data Science/Analytics capability in Distribution/Supply Chain industry Programming and data management skills (SQL, Python, R desirable) Power BI development and reporting capability (including DAX) Data ...

team collaborates intimately with the Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines … Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. The team collaborates intimately with the Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model ...

Contract Duration: 12 months Pay rate is £18.75 per hour PAYE (or £25.50 per hour Umbrella – Inside IR35) Candidate Requirements: Demonstrable Data Science/Analytics capability in Distribution/Supply Chain industry Programming and data management skills (SQL, Python, R desirable) Power BI development and reporting capability (including DAX) Data ...

capabilities to the customer's specific data challenges and business objectivesDesign and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloadsDevelop working knowledge of the customer's existing data architecture, cloud environment, and technology … consulting in enterprise B2B technology, with exposure to financial services organisationsSolid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platformsHands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data solutionsProficiency ...

teams to scale effectively. Own operational performance management, establishing meaningful metrics, reporting, and insights to drive accountability and decision making. Partner with CX Analytics to build dashboards and reporting that provide visibility into customer outcomes, operational health, and business impact. Lead Workforce Management, Quality Assurance, CX Systems Operations, ensuring alignment … fast-paced, evolving environment. Experience working within financial services, payments, or other highly regulated industries is preferred. Experience with CX platforms such as Zendesk, analytics and reporting tools such as Tableau, Quality Assurance, and Workforce Management practices is preferred. B2B FinTech experience is preferred. #J-18808-Ljbffr ...

Centers in the efficient use of approved platforms, driving not just the adoption rate but also the effective use of the platforms. Uses data analytics to examine user behavior patterns, help desk ticket trends, and technology adoption rates across departments to identify gaps and opportunities for improvement Facilitates employee adoption … Adventist Church. Must maintain a regular and reliable work schedule. Other duties as assigned. EDUCATION AND EXPERIENCE Bachelor’s (BA/BS) degree in Analytics or related field required. Relevant successful work experience and/or certifications may be considered in lieu of academic requirements. Four or more years ...

maintain clear production engineering roadmaps aligned to business strategy.2. AI Adoption & Digital TransformationChampion the responsible adoption of Digitisation utilising AI where appropriate and data analytics within Production Engineering and Test.Identify and implement AI-enabled solutions to enhance:Predictive maintenanceProcess optimisationAutomated inspection and testYield analysisCapacity modelling and planningPromote data literacy within … manufacturing environments.Experience in high-reliability microelectronics product design and manufacturing.Proven experience in materials, process design, optimisation, and industrialisation.Experience implementing lean manufacturing principles.Exposure to data analytics or digital manufacturing technologies.Desirable:Experience with MCM, Thick Film Hybrid, and PCBA technologies.Experience implementing AI or advanced analytics within manufacturing.Capital equipment specification and commissioning experience.CompetenciesStrong ...

Establish enterprise-wide data standards, governance and architectural principles Support data platforms, metadata, data quality and data catalogue initiatives Ensure data architecture supports AI, analytics and knowledge graph capabilities Work with senior business, technical and military stakeholders Required Experience: Strong knowledge of data modelling, governance and metadata Experience with Sparx ...

Banking Markets - Software Engineer - Equities Data Platform Engineering - London - Vice President Job Description The Equities Data Platform team is core to delivering real‐time analytics and handling critical fiduciary functions for Goldman Sachs' Electronic Trading business across Equities and Listed Options. If you're excited by the challenge of engineering … queries across huge datasets, at speed and at scale. Design and build a cutting‐edge, AI‐powered UI/agent framework that delivers intelligent analytics and insights over our data – empowering users to interrogate and unlock value from large‐scale datasets. Partner closely with business stakeholders, client applications, and Regulatory ...

maintain clear production engineering roadmaps aligned to business strategy.2. AI Adoption & Digital TransformationChampion the responsible adoption of Digitisation utilising AI where appropriate and data analytics within Production Engineering and Test. Identify and implement AI-enabled solutions to enhance: Predictive maintenanceProcess optimisationAutomated inspection and testYield analysisCapacity modelling and planningPromote data literacy … high-reliability microelectronics product design and manufacturing. Proven experience in materials, process design, optimisation, and industrialisation. Experience implementing lean manufacturing principles. Exposure to data analytics or digital manufacturing technologies. Desirable: Experience with MCM, Thick Film Hybrid, and PCBA technologies. Experience implementing AI or advanced analytics within manufacturing. Capital equipment specification ...

e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)Solution engineering/solution architect experience in a Saas environment or relevant industry experience (analytics, data science, data engineering etc)Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demosUnderstanding … experience with data architecture, data analytics and cloud technologyHands on experience with SQLAbility to solve customer specific business problems and apply Snowflake’s solutionsCustomer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbalPreferred (but not required) to have:· Experience ...

acceptance criteria, and clear backlog prioritization. Collaborate with engineering, data science, andsolutions teamsto deliver high-quality TM features (real-time and batch pipelines,detection analytics,alert scoring,alert/case creation, feedback loops). Drive backlog grooming, sprint planning, and manage priorities/dependencies across multipleengineering pods. Participate in design … model/rulethreshold tuning,monitoringof false positives/recalland improving true positivedetection. Ensure explainability, reason codes, lineage, and model transparencyacross TM solution, including detection analytics andalert/risk scoring modules. Work withengineeringteamsand customersto define test cases, regressiontestsuites, and oversee UAT/release validation. Monitor metrics (alert volumes, false positives, investigator ...

business leaders.Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).Demonstrated experience leading specialist … cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.Exposure to AI-native and agent-driven applications that depend on low-latency ...

leaders. Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).Demonstrated experience leading … ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. Exposure to AI-native and agent-driven applications that depend ...

Support the development and maintenance of frameworks to identify and monitor casualty, cyber catastrophe and clash exposures across relevant lines of business.* Perform portfolio analytics to assess accumulations by industry, geography, policy structure and other key risk drivers, including cyber aggregation and systemic exposures.* Develop and run casualty and cyber … actionable insight to underwriting and Exposure Management, particularly in relation to casualty–cyber clash exposures and portfolio risk concentrations.* Enhance casualty and cyber catastrophe analytics and methodologies, including improvements to data, tools and scenario design.* Support the integration of casualty and cyber catastrophe risk into capital modelling, ensuring appropriate representation ...

that enable CX teams to scale effectively.Own operational performance management, establishing meaningful metrics, reporting, and insights to drive accountability and decision making.Partner with CX Analytics to build dashboards and reporting that provide visibility into customer outcomes, operational health, and business impact.Lead Workforce Management, Quality Assurance, CX Systems Operations, ensuring alignment … fast-paced, evolving environment.Experience working within financial services, payments, or other highly regulated industries is preferred.Experience with CX platforms such as Zendesk, analytics and reporting tools such as Tableau, Quality Assurance, and Workforce Management practices is preferred.B2B FinTech experience is preferred.LocationUK: Manchester (Landmark, St Peter's Square, 1 Oxford ...

meet business and regulatory requirements. Partner with relationship managers and customer success teams to drive adoption, engagement, and retention for clients and their users. Analytics, Performance & ComplianceDefine and monitor KPIs and success metrics to track performance, user engagement, and feature adoption. Work with data and analytics teams to derive insights … products, as well as feature development in existing products. Has worked in AI products with an 'AI first' mentality. Experience working with product analytics tools, user research, A/B testing, and performance tracking to drive product decisions. Ability to balance user needs, commercial goals, and technical feasibility to prioritise ...

leaders. Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).Demonstrated experience leading … ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. Exposure to AI-native and agent-driven applications that depend ...