3,801 to 3,825 of 7,392 Analytics Jobs in the UK

driving standardisation, reuse and convergence across multiple domains and teamsStrong understanding of data platforms and data architecture, with experience leveraging data to enable advanced analytics and AI-driven capabilities Proven ability to establish and enforce architecture governance, standards and assurance, working within enterprise guardrails and contributing to broader architecture communitiesAbility ...

deadline.Desirable Experience:Oracle Fusion data migration, including FBDI templates, load validation, and reconciliation.Data governance, data quality, and master data management practices.Finance reporting, controls, analytics, and downstream integration requirements.What We Offer youAt Arup, we care about each member’s success, so we can grow together. Guided by our values, we provide ...

What you’ll bring Proven executive leadership building partner engineering teams within enterprise software ecosystems Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures. Experience launching production‐hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment ...

model risk, and responsible AI standards.To be successful in this role, we’re seeking the following: Significant experience in Product Management, Digital Transformation, Data & Analytics, AI, Technology, or a related field, including leading enterprise-scale transformation initiatives.Demonstrated track record of delivering multiple AI, automation, or digital transformation programs that have ...

regulatory considerations.Apply your expertise across technology domains including applications, platforms, infrastructure, data, integration, identity and observability.Keep current with developments in cloud, data engineering, analytics, Generative AI, foundation models and responsible AI practices.Manage and mentor colleagues, helping them develop their technical, consulting and leadership capabilities through coaching, feedback and career support.What ...

such as PyTorch.Experience building and operating distributed systems.Experience working with large-scale datasets and high-throughput data processing pipelines.Familiarity with modern data storage and analytics technologies, including columnar data formats and data lake architectures.Strong debugging, problem-solving, and systems design skills.Experience collaborating effectively with cross-functional teams.Additional Expectations for Staff ...

Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

skills essential. Requirement for frequent interaction with technology management Must be able to multitask while managing both timelines and workload Experience with AI, Data Analytics tools and techniquesAudit experience in Cloud and other emerging technologies ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help ...

business practices, and escalating, managing and reporting control issues with transparency.What we’ll need from youRelevant experience in a comparable quantitative modelling or analytics role, ideally in the financial sectorMust have technical/programming skills. Preferably use of Python, Java, SQL and/or q.Exposure to Market Data; Statistics ...

consulting in the software or Internet industries- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).- Experience in design, implementation, or consulting in applications and infrastructures- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clientsPreferred ...

informationProven experience leading change management, capability-building, or adoption programs, including scaling initiatives from pilot to business-as-usualStrong understanding of AI-enabled workflows, analytics platforms, and insight systems; familiarity with knowledge graphs, ontologies, agile product delivery, and sprint-based methodologies is preferredExcellent stakeholder management, communication, and influencing skills, with ...

moving towards: C#, .NET/.NET Core, Microsoft Azure, GitHub (an increasingly strategic platform), Azure DevOps, CI/CD pipelines and automation, and engineering analytics tooling including the LinearB pilot. The candidate should understand these well enough to challenge, guide and directly contribute to engineering direction.What Success Looks LikeGreater consistency ...

considerations.* Apply your expertise across technology domains including applications, platforms, infrastructure, data, integration, identity and observability.* Keep current with developments in cloud, data engineering, analytics, Generative AI, foundation models and responsible AI practices.* Manage and mentor colleagues, helping them develop their technical, consulting and leadership capabilities through coaching, feedback ...

learning and keeping pace with digital trends, technologies and market developments Experience using product management and delivery tools, alongside a solid understanding of digital analytics and customer experience measurement So, whats in it for you? Bonus Schemes A bonus that regularly rewards you for your performance A pension ...

practices, and escalating, managing and reporting control issues with transparency.**What we’ll need from you*** Relevant experience in a comparable quantitative modelling or analytics role, ideally in the financial sector* Must have technical/programming skills. Preferably use of Python, Java, SQL and/or q.* Exposure to Market ...

health and as a product shipped to teams. A broad grasp of platform, developer experience (DevEx) and SRE across the whole delivery lifecycle: performance, analytics and security, not one narrow speciality. Rolled out SLOs across an organisation to drive error budgets and alerting, built fault-tolerant systems, and comfortable with ...

degree in Computer Science, Engineering, or related field* Experience in professional software development* Working knowledge of IoT system development lifecycles* Working knowledge of Data Analytics Saas models**Are you interested? You may be an extraordinary fit if you*** Deep fluency in Agile/Scrum; familiarity with Lean product development* Ability ...

engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes ...

reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research ...

including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta ...

years building components for systematic or electronic trading systems (credit preferred) Strong programming skills Java for low‐latency services, concurrency, messaging Python for research, analytics, data processing FIX protocol experience Front‐end engineering experience JavaScript/TypeScript React Real‐time dashboards (REST/WebSocket) Modern UI state management Distributed systems ...

make content accessible to all. Additionally, you have practical understanding of UK government content design standards and accessibility requirements.Prototyping. You know how to bring analytics and user research findings into your design work and how to work collaboratively with researchers, designers and developers. You understand the value of using different ...

make content accessible to all. Additionally, you have practical understanding of UK government content design standards and accessibility requirements.Prototyping. You know how to bring analytics and user research findings into your design work and how to work collaboratively with researchers, designers and developers. You understand the value of using different ...

make content accessible to all. Additionally, you have practical understanding of UK government content design standards and accessibility requirements.Prototyping. You know how to bring analytics and user research findings into your design work and how to work collaboratively with researchers, designers and developers. You understand the value of using different ...

make content accessible to all. Additionally, you have practical understanding of UK government content design standards and accessibility requirements.Prototyping. You know how to bring analytics and user research findings into your design work and how to work collaboratively with researchers, designers and developers. You understand the value of using different ...