8 of 8 Contract Data Modelling Jobs in the Thames Valley

Are you 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 use? If so, please click apply today! We are recruiting for … applications will be considered. The 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 it supports both scientific research … and business strategy. Collaborate across departments to implement enterprise-wide data initiatives, applying principles such as data mesh, data as product, and data contracts. Lead the creation and stewardship of high-quality, reusable published information datasets that are easily discoverable and accessible, supporting scientific workflows and compliance. Scout and evaluate emerging technologies to enhance data More ❯

Job 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, and 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 of financial data across the enterprise. You'll lead initiatives to simplify and standardise finance data models … rationalise master data structures, and embed governance frameworks that enable trusted, insight-driven decision-making. Responsibilities: Shape the Finance Data Strategy: Design and deliver a multi-year roadmap for finance data transformation, partnering with Global Process Owners (GPOs) to ensure performance management, legal, fiscal, and regulatory requirements are met. Master Data Excellence: Drive global efforts to More ❯

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. You will work across all areas of the enterprise to deliver and maintain the Digital Services strategy. Hybrid working … days Outside IR35 Key skills/experience Significant experience in data solution architecture within large, complex organisations. Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field. 10+ years of experience in data architecture, data engineering, or enterprise architecture roles. Expertise with Oracle RDBMS and SQL Server RDBMS. Strong knowledge More ❯

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 1 Duration of 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 insights. Develop and implement machine learning models and algorithms using Python , Azure Machine Learning , and Databricks . … within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models. Collaboration & Business Alignment: Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions. Data Engineering & Governance: Develop and maintain large-scale data models to support analytics and reporting needs. Ensure data quality and integrity through effective data More ❯

future-state vision, uncover requirements, 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 vs 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 governance: review designs from development teams/partners, perform code review, ensure technical debt is … reference architectures. Participate in operational considerations: performance tuning, capacity planning, availability, disaster recovery, security compliance. Stay up to date with new ServiceNow features, modules, trends (e.g., AI/ML, data fabric, Now Assist), assess applicability, and recommend adoption where relevant Required Qualifications & Skills Experience : Typically 10+ years of relevant experience in IT, of which several years are hands-on More ❯

of ServiceNow solutions. Proven expertise in 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 (AWS, Azure, GCP) and More ❯

of ServiceNow solutions. Proven expertise in 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 (AWS, Azure, GCP) and More ❯

+ custom applications. Designing + 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 ServiceNow solutions. Acting as the More ❯