3,601 to 3,625 of 10,343 Analytics Jobs

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 ...

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 ...

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 ...

expectations. As a Senior Software Engineer (SDET), you'll be the transformational force that revolutionizes our testing approach. You'll leverage AI and advanced analytics to identify quality gaps, architect intelligent testing solutions, and establish new standards for test effectiveness that go beyond simple coverage metrics. How will … successful in this role at Roku? AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, agentic AI systems, and predictive analytics for quality assurance Experience with autonomous testing agents capable of independently discovering, executing, and adapting test strategies. 5+ years of hands‐on experience with test ...

play a central role in transforming complex media data into actionable intelligence for our enterprise clients. Your expertise in social listening, media analytics, and strategic storytelling will shape bespoke reports that inform brand, communication, and business decisions at the highest level. You'll collaborate with internal teams and client stakeholders … remain best-in-class. What You'll Bring: Bachelor's degree in a relevant field such as Social Sciences, Communications, Marketing, Media Studies, Data Analytics, or related fields emphasizing research and analysis. +2 years of experience in insights, research, or analytics, ideally within media, communications, marketing, or PR. Exceptional written ...

Software Engineer (Structured Data) Location London Employment Type Full time Location Type Hybrid Department Analytics & Data Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single … Quant teams to understand complex data requirements and deliver robust platform capabilities. Designing, building and maintaining services that support large-scale data processing and analytics workloads. Improving and maintaining sophisticated CI/CD pipelines to enable reliable and efficient software delivery. Contributing to the architecture and evolution of cloud-native ...

Launch your data career with an exciting Data Engineer Apprenticeship! Are you passionate about technology, analytics and solving complex problems? We are looking for a motivated and enthusiastic Data Engineer Apprentice to join our growing team. This is an exciting opportunity to gain real-world experience in data engineering, analytics ...

least 6 months long internship period. The Role Support the build-out and maintenance of core data infrastructure, working directly with our data and analytics stack to keep information clean, structured, and accessible. Partner with data, product, and investment teams to translate business questions into data-driven answers, working fast … communicate findings clearly to both technical and non-technical stakeholders. What We're Looking For Background & Education: Completed Bachelor’s degree in Data Science, Analytics, Computer Science, Engineering, or a related field, with strong interest and hands-on experience in data. Candidates from prestigious universities and/or with prior ...

management processes. Review compliance with company policies and applicable laws and regulations. Promote strong control awareness throughout the organisation. Quality and Compliance Use data analytics tools to identify anomalies, trends and control weaknesses. Support the development of continuous auditing and continuous monitoring techniques. Maintain complete and accurate audit documentation. Contribute … qualification would be advantageous. Experience conducting financial, operational, compliance or IT audits. Experience assessing internal controls, governance and risk management processes. Experience using data analytics tools within an audit environment. Strong audit report-writing and presentation skills. Proficiency in Microsoft Office, particularly Excel, Word and PowerPoint. French-language capability would ...

aligned to business priorities including growth, customer retention, operational efficiency and productivity. Leading a multidisciplinary team across data science, machine learning engineering, data engineering, analytics and AI programme delivery. Building and prioritising a portfolio of high-impact AI and data initiatives across the business. Owning the end-to-end lifecycle … data platform teams. A strong track record of delivering data and AI initiatives that have created clear business impact. Strong understanding of data platforms, analytics, machine learning and AI technologies. Experience operating in complex, matrixed organisations. The ability to define strategy while staying close enough to execution to challenge, guide ...

architecture oversight across complex Databricks solutions, ensuring proposed architectures are scalable, secure, governed, and aligned to client enterprise technology strategies. Bring together data engineering, analytics, machine learning, and Generative AI capabilities to shape integrated transformation solutions on the Databricks platform. Provide technical strategy and leadership throughout the pursuit lifecycle, challenging … Extensive experience shaping and leading complex enterprise Data & AI transformation opportunities. Strong knowledge of the Databricks platform and its application across enterprise data engineering, analytics, machine learning, and Generative/Agentic AI. Proven experience developing Data & AI transformation strategies, roadmaps, and enterprise-scale solution architectures. Strong client engagement skills with ...

identify opportunities. Help organisations understand how AI can improve productivity, decision-making, and employee experience. Identify and assess opportunities in AI, automation, predictive analytics, and emerging technologies. Create high-quality deliverables, including strategies, roadmaps, and business cases. Translate complex technical concepts into clear, actionable insights for clients. Contribute to sales … knowledge in areas such as: Generative AI and large language models. AI-enabled workplace tools like Microsoft Copilot. Intelligent automation and workflow transformation. Predictive analytics and data-led decision-making. AI governance and responsible adoption. The Benefits At Gallagher, we offer a supportive and inclusive workplace, flexible working arrangements ...

empower our decision making. About the RoleAs our Senior Product Data Scientist, you will be the cornerstone of our advanced analytics capability. This is more than a technical role; it's a high-impact position designed to shape the future of our product by embedding deep, quantitative intelligence into … insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. Architect and implement sophisticated statistical models (predictive, classification, clustering, etc. ...

UNITED is your playing field. Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME? Legal & Compliance Analytics is part of the wider Automation and Insights teamwith 150+ analysts, data scientists and data engineers. We are looking to recruit a data analyst who will … help ensure that our players are playing sustainably and in a safe environment. Legal and Compliance Analytics supports insight driven decisions across Compliance and Customer Service initiatives, detecting early signs of problematic gambling and optimising the effectiveness of our responsible gambling tools and processes. Our team works on solutions designed ...

Incident Handling and Analysis-Perform root cause analysis, create incident response plans and implement disaster recovery measures to minimize business disruption Threat Assessment and Analytics-Undertake forensic analysis using advanced analytics tools and implement mitigation measures to align with compliance requirements. Stakeholder Coordination and Audit Assistance-"Liaise with cross functional ...

long and successful career. We are delighted to offer country specific benefits. 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 and 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 to partner ...

year fixed term contract, running from greenfield platform design in Explore phase through to post go-live stabilisation. You'll form a two-person analytics team alongside our SAC/planning resource (transitioning from BW/BPC), your focus being the data platform layer. There is no BW migration; everything … requirements right and produce reports, you'll also be tasked with how we move from basic reporting delivery to drawing insights and running analytics to drive business intelligence and decision making What will make you successful in the role? Exposure to SAP Business Data Cloud (BDC) and its integration architecture ...

analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutionsCollect, analyze and interpret large data assets ...

analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutionsCollect, analyze and interpret large data assets ...