1,176 to 1,200 of 6,056 Analytics Jobs in England

built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead ...

encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability and Oracle/PostgreSQL database estate, balancing strategic investment, operational demand and technical debt. Drive modern engineering practice across the data function, including version ...

that is used by the Data teams building complex, mission‐critical solutions. The vision for PDP is to embed data‐driven decision‐making and analytics at scale, across the Partnership. We recognise the importance of data and are backing a significant investment in developing the platform. The team takes ...

environments. Familiarity with DevOps practices, CI/CD pipelines and modern engineering methodologies. Experience with monitoring and observability platforms. Knowledge of data platform technologies, analytics services or data engineering practices. What’s In It For You Your work matters. And the way we reward you matters, too. At Skipton ...

infrastructure specialists. A genuine appetite for learning unfamiliar platforms. About Us PEI Group is the leading global provider of business intelligence, data, analytics, and events for private markets professionals. Through meticulously sourced data, deep analytical expertise, and a trusted journalistic heritage, PEI delivers vital intelligence to sharpen the decision‐making ...

well as commonly used third-party packages Understanding of data structures and common data transformation methodologies Experience contributing to large-scale, efficient and performant analytics workflows, including ETL, orchestration, and distributed compute, using industry-standard libraries such as Pandas, Polars, and Dask. Experience working in a modern software engineering environment ...

infrastructure deliver competitive advantages to our clients and to our firm. Trade Surveillance are recruiting for a solutions focused developer to join the Analytics Squad. The role located in the UK, is part of an established project team consisting of Developers, Business Analysts, Testers and operational change partners across multiple ...

other cloud environmentsFamiliarity with DevOps practices, CI/CD pipelines and modern engineering methodologies.Experience with monitoring and observability platforms.Knowledge of data platform technologies, analytics services or data engineering practices.What’s In It For YouYour work matters.And the way we reward you matters, too.At Skipton, we offer pay and benefits that ...

risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance ...

willingness to travel up to 30% annually for on‐site customer discovery and presentation sessions. Education: Bachelor’s degree in Computer Science, Business Analytics, Information Systems, or a related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake ...

innovation across products and platforms. We shape the product ecosystem through AI, data, and strategic partnerships—embedding large language models, agentic platforms, and advanced analytics into how insight and value are delivered. We partner with leading AI and technology providers including Anthropic, Microsoft, AWS, and Databricks to accelerate innovation ...

required, ideal candidates will possess a solid foundation in production LLMs, complemented by deep specialization in either agent and backend architectures or clinical data analytics and model evaluation. Technical Skills Demonstrated experience shipping LLM-enabled software used by real users or operational teams. Strong Python and software engineering skills, including ...

team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads. Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed ...

cloud architecture certification i.e. TOGAF, Cloud platform certifications (AWS, Azure), Databricks or other similar.* Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle.* Experience with Large Language Models architectures and techniques: AI-agents, GraphRAGs, fine ...

cloud architecture certification i.e. TOGAF, Cloud platform certifications (AWS, Azure), Databricks or other similar.* Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle.* Experience with Large Language Models architectures and techniques: AI-agents, GraphRAGs, fine ...

willingness to travel up to 30% annually for on-site customer discovery and presentation sessions.* ## Education: Bachelor’s degree in Computer Science, Business Analytics, Information Systems, or a related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks ...

security protocols (OAuth2, OpenID Connect, TLS, etc.). Experience integrating legacy banking systems with modern digital platforms. Experience integrating data platforms used for analytics or machine learning. Familiarity with real‐time vs batch data patterns and their impact on analytical and AI use cases. Awareness of AI model lifecycle considerations ...

security protocols (OAuth2, OpenID Connect, TLS, etc.). Experience integrating legacy banking systems with modern digital platforms. Experience integrating data platforms used for analytics or machine learning. Familiarity with real-time vs batch data patterns and their impact on analytical and AI use cases. Awareness of AI model lifecycle considerations ...

them. Experience with use cases such as intelligent document processing, customer service AI, advisor enablement, underwriting support, claims automation, lending decision support, financial crime analytics, risk and compliance automation, knowledge management or operational workflow redesign. Experience working in agile, product-based or hybrid delivery environments. Experience developing MVPs, pilots, proofs ...

strategic direction and overseen the integration of emerging new technology platforms including cloud platforms, new enterprise applications, big data platforms and tools for advanced analytics including AI/machine learning/data science that drive business value A growth mindset AI curious and ready to embrace opportunities Desirable Experience with ...

observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor's degree ...

Track record of successfully designing, building, and deploying scalable, secure, and highly available security infrastructures using Azure. Strong proficiency in leveraging data and advanced analytics to drive decision‐making and continuously enhance security solutions. Expertise in utilizing Azure DevOps to drive efficient and collaborative development processes, including the development ...

practices. Ensure high availability and security of systems through robust monitoring, logging, and alerting. Assist in data engineering activities (data cleansing, integration, onward data analytics). Provide application support to existing deployed services. Contribute to the improvement and efficiency of the Cyber division. You really must have: A good working ...

risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance ...

Analyst to join the Data team, which sits under Tech and Data. This role is a 12 month FTC joining a team of experienced analytics engineers and managers to support the increasing Analytical demands across the business. In this role, you will: Design, develop and maintain performant, scalable and best ...