26 to 50 of 64 Analytics Jobs in Cambridge

relevant CI/CD pipelines. Exposure with AI tools for engineering efficiency. Experience with scalable, cloud-based secure web platforms, preferably integrating CRM, marketing analytics or payment transactions. Experience with line-management of direct reports and performance appraisals would be beneficial. This is a 24 months fixed term contract (with ...

RESTful microservices, driving sustainability and change Cambridge; circa £60k - £70k DoE + benefits This highly successful engineering software company powers advanced intelligence and analytics for vital industry using cutting-edge technology. This enables companies to cut energy costs, reduce CO2 emissions, reach sustainability targets and improve engineering processes. ...

relevant CI/CD pipelines. Exposure with AI tools for engineering efficiency. Experience with scalable, cloud-based secure web platforms, preferably integrating CRM, marketing analytics or payment transactions. Experience with line-management of direct reports and performance appraisals would be beneficial. This is a 24 months fixed term contract (with ...

analyses to identify opportunities for control improvements and \"bake\" compliance requirements directly into new digital products or workflows Data-Driven Oversight : Leverage advanced data analytics and AI tools to monitor for anomalies, detect potential fraud, and maintain a state of continuous compliance Qualifications & Requirements Experien ce: Extensive experience in iGaming ...

global or regional industrial data programmes across multiple plants or sites Desired Skills and Competencies Experience with AVEVA CONNECT capabilities, including CONNECT Data, sharing, analytics, visualisation, digital twin, DataOps, and AI/ML-enabled use cases Strong understanding of SCADA systems, PI Interfaces and Connectors, OPC DA/UA, Modbus ...

.Coordinate integrations with MuleSoft middleware and other systems. Ensure scalable, integrated solution design across finance, operational, and performance management processes. Support data migration, reporting, analytics, hypercare, and transition to BAU operations. Skills & QualificationsEssentialBachelor's or Master's degree in IT, Finance, or equivalent relevant experience. Proven experience delivering Oracle Fusion ...

equivalent)Previous experience with policy managementPrevious experience of working with OracleExperience of driving automation/AI in a controls functionStrong data enquiry/analytics/scripting skillsExperience of managing a co-source agreementUnderstanding of other regulatory frameworks e.g. NIST, ISO 27001, EU CRAUK Benefits include: Flexible benefits fund, emergency leave ...

AVEVA is seeking a Product Intelligence Data Scientist to build a unified intelligence layer that transforms raw usage signals, behavioral data, and lifecycle events into predictive, prescriptive insights that enable teams to act on what ...

Data Engineer to build and maintain datasets and pipelines across Commercial initiatives. You will connect operational data across Arm’s systems to enable automation, analytics and reporting. This fixed‐term, hands‐on role focuses on delivering reliable data products, supporting data quality and governance, and collaborating with business ...

Senior Software Engineer (SDET) to transform our testing strategy. You will collaborate with Software and QA Engineers to elevate testing quality using AI, analytics, and intelligent test solutions across the streaming platform. You will shape regression prevention, define new testing methodologies, and leverage agentic AI tools to drive reliability ...

contribute to the development of cutting-edge IoT devices and systems. The role involves tackling diverse software challenges, from firmware writing to machine learning analytics, and requires collaboration across all company areas to ensure effective problem-solving. The ideal candidate will hold a relevant degree, possess excellent Python skills ...

This is an opportunity to work on genuinely varied and technically challenging problems across areas including: Image and data processing Machine learning and advanced analytics Numerical and scientific computing Databases and distributed systems Networking and hardware integration Python is currently a core part of the technology stack, with opportunities ...

focused on making data ingestion patterns from any source system reliable, cost-effective, and easy to implement while maintaining compatibility with popular analytics engines and ensuring optimal query performance through intelligent partitioning and indexing strategies. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such ...

moving through ambiguity. Aspiration: Builds scalable, repeatable enablement approaches that raise consistency across regions and roles. Curiosity: Uses insights from Schneider Electric stakeholders, usage analytics and feedback to refine content and programmes. Trust: Builds strong relationships across AVEVA and Schneider Electric; communicates transparently and follows through. Commercial at AVEVA ...

gastrointestinal diagnostics company transforming earlier detection for oesophageal cancer and Barrett's oesophagus. Our EndoSign test combines a swallowable capsule with advanced biomarkers and analytics to detect disease earlier, improving patient outcomes while reducing pressures on healthcare systems. What started as an idea between a health-tech entrepreneur and leading ...

utilisation, efficiency and cost-performance across HPC compute, cloud, Emulation and FPGA environments. In a metrics-first environment, you will develop dashboards, pipelines and analytics frameworks, partner with engineering, operations and finance teams, and contribute to platform strategy while enabling #J-18808-Ljbffr ...

particularly interested in people who have sold: SaaS platforms, Cyber Security solutions, HR Technology, MarTech and AdTech, Sales Enablement platforms, FinTech solutions, Data and Analytics platforms, Enterprise software solutions - with quick sales cycles (2-6 weeks). REQUIREMENTS : Business Development Manager, Sales Manager - SaaS · Experience selling SaaS, technology or subscription ...

related technical domains. Broad awareness of Arm technologies and the silicon development ecosystem. Knowledge of structured authoring, componentised content models, automated generation, content analytics, or AI-assisted workflows. A relevant engineering, computer science, or technical communications degree may be useful, but equivalent technical experience is equally valuable. In Return: This ...

define requirements and align on KPIs, metrics and business definitions. Create engaging dashboards, visualisations and Databricks Genie Rooms. Translate business questions into intuitive data, analytics and AI experiences. Develop semantic models, KPIs, metrics and business definitions. Configure and continuously improve Genie Rooms for natural-language analytics. Maintain ontology, taxonomy, metadata … data quality, lineage and traceability. Gather feedback and continuously improve solutions based on business needs and adoption. Required Skills and Experience: Experience in data analytics, business intelligence or data visualisation. Experience creating dashboards and visualisations using Databricks AI/BI, Power BI, Tableau or similar tools. Good working knowledge ...

applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake that support analytics, machine learning, and AI. Apply AI and agentic development practices to rapidly prototype tools and visualisation capabilities that enhance lead selection and decision-making … platforms and modern data engineering approaches. Experience developing APIs, workflow orchestration systems, or scientific web applications. Experience applying machine learning, generative AI, or advanced analytics in scientific environments. Familiarity with FAIR data principles and research data governance. Experience working within agile product teams. Success Measures: Within the first ...

software including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI. Apply AIandagentic development practices to rapidly prototype tools and visualisation capabilities that enhance leadselectionand decision-making in drug discovery campaigns. Collaborate … platforms and modern data engineering approaches. Experience developing APIs, workflow orchestration systems, or scientific web applications. Experience applying machine learning, generative AI, or advanced analytics in scientific environments. Familiarity with FAIR data principles and research data governance. Experience working within agile product teams. Success Measures: Within the first ...

channels. You’ll manage paid social, search, display, video, and retargeting campaigns across web, shop, and product journeys, partnering with brand, product marketing, content, analytics, CRM, and web teams to improve ROI. #J-18808-Ljbffr ...

Product to define hypotheses and build predictive models that quantify adoption maturity, churn risk, and revenue impact, using tools like dbt, Airflow, and modern analytics platforms. Hybrid working in the UK is common. #J-18808-Ljbffr ...

renewal success. Using customer health, engagement and product usage data to proactively identify risk and opportunity. Working alongside Customer Marketing, Digital CS and Data & Analytics to continually improve the scaled customer journey. Acting as the senior escalation point for complex customer situations, leading by example through your own customer interactions. ...

join a small, collaborative data team on an initial 6-month contract. This is an exciting opportunity for someone who sits comfortably between data, analytics, governance and AI - someone who can take complex business requirements, turn them into intuitive data solutions, and ensure the underlying data is trusted, well-defined … governance and data foundations behind it. The Role Partner with business stakeholders to understand requirements and translate business questions into effective data, analytics and AI solutions. Define and align KPIs, metrics, business definitions and semantic models. Build engaging Power BI dashboards and visualisations, alongside Databricks AI/BI capabilities ...