8 of 8 Contract Data Modelling Jobs in Berkshire

looking for a new role as an External Information Solutions Lead? Do you have a deep understanding of the data lifecycle, metadata, ontologies and scientific knowledge systems? Are you also experienced in FAIR data principles and semantic technologies, ensuring data is structured for scientific … successful candidate will report into the Head of Scientific Information and Intelligence and will be responsible for helping to define and execute the teams data marketplace strategy to enable seamless access to licensed external information assets. Key Responsibilities: Define and evolve the vision for the data marketplace, ensuring

title: Finance Data Transformation Lead Location: Windsor/Hybrid Duration: 12 months initially We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team … your application will be reviewed with care and attention. The role: We're looking for a Finance Data Transformation Lead to modernise, standardise, and optimise our finance data landscape. This pivotal role will define and execute a cohesive data strategy that enhances the quality, consistency, and accessibility

Senior Data Architect We are seeking a highly experienced Senior Data Architect to lead the design, governance and strategic evolution of our enterprise data ecosystem. This role requires a visionary who can translate complex business needs into scalable data solutions while partnering closely with C-suite … executives to shape data strategy, drive digital transformation and influence enterprise-wide decision-making. This is a very strategic focussed, high-impact role where you will work also closely with the Data Systems Manager to ensure that all solutions meet the data governance standards and cybersecurity requirements.

Role/Job title Data Scientist - Azure ML Ops & Databricks Work Location Wokingham, UK Role type - Permanent/Fixed Term/Contracting Contracting Mode of working Hybrid/office based Office based 5 Days in Office If Hybrid, how many days are required in office? NA Number of positions … assignment 06 Months Any other working conditions - travel/on call/shifts To be published on job boards from below onwards The Role: Data Scientist - Azure ML Ops & Databricks Your responsibilities: Data Analysis & Modeling: Utilize Python for advanced data analysis, exploration, and processing to uncover actionable

constraints, and opportunities. Design end-to-end ServiceNow solutions and technical architectures that align with organizations strategic goals, considering scalability, performance, security, maintainability, integrations, data model, and user experience. Define roadmap(s) and solution intent/blueprints: translate business goals into architecture, technology decisions, module usage, platform configuration … custom development. Ensure adherence to best practices, ServiceNow leading practices, coding standards, design patterns, security standards, data governance, and configuration over customization. Manage or oversee integrations between ServiceNow and other systems (via REST, SOAP, IntegrationHub, MID Servers, etc.), ensuring reliability, security, latency, error handling, monitoring. Establish/enforce architecture

ServiceNow integrations including: REST, SOAP, APIs, MID Servers. Designing, developing + implementing CMDB and Discovery. ServiceNow scripting (JavaScript, Glide, Flow Designer), and ServiceNow data models. Deep technical expertise in the ServiceNow platform + serving as a technical authority on ServiceNow architecture, design + best practice. Exposure to cloud technologies

ServiceNow integrations including: REST, SOAP, APIs, MID Servers. Designing, developing + implementing CMDB and Discovery. ServiceNow scripting (JavaScript, Glide, Flow Designer), and ServiceNow data models. Deep technical expertise in the ServiceNow platform + serving as a technical authority on ServiceNow architecture, design + best practice. Exposure to cloud technologies

implementing CMDB and Discovery. Proven expertise in ServiceNow integrations involving: REST, SOAP, APIs, and MID Servers. ServiceNow scripting (JavaScript, Glide, Flow Designer) and ServiceNow data modeling. ServiceNow Architect to Lead the design, development, and implementation of ServiceNow solutions across our enterprise. Translating business requirements into scalable, maintainable + effective