6 of 6 Contract Data Science Jobs in the Thames Valley

Our client, a leading global organization, is partnering with a prestigious end client based in Wokingham. Were excited to offer an outstanding opportunity for askilled Data Specialist - Authoritative Data Source to join a dynamic IT team . If you are interested and have the relevant skills and experience, please apply promptly to discuss further. Job Title: Data Specialist Authoritative Data Source Location: Wokingham (Hybrid 3 days onsite per week) Contract Type: 6-Month Contract (with potential extension) Day Rate: £470 (Inside IR35) About the Role We are seeking a highly skilled Data Specialist (Authoritative Data Source) to join a growing data governance and provenance team. The successful candidate will be responsible for … identifying, evaluating, and maintaining authoritative data sources to ensure accuracy, credibility, and compliance with governance standards. This is a hands-on role working across technical and business teams to drive consistency, transparency, and reliability of enterprise data. Key Responsibilities Identify and discover authoritative data sources (internal and external). Assess and evaluate data sources in collaboration with More ❯

Our client, a leading global organization, is partnering with a prestigious end client based in Wokingham. Were excited to offer an outstanding opportunity for askilled Data Specialist - Data Lineage to join a dynamic IT team . If you are interested and have the relevant skills and experience, please apply promptly to discuss further. Job Title: Data Specialist … Data Lineage Location: Wokingham (Hybrid 3 days onsite per week) Contract Type: 6-Month Contract (with potential extension) Day Rate: £470 (Inside IR35) About the Role We are looking for an experienced Data Specialist (Data Lineage) to support data governance and provenance initiatives within a large-scale programme. The successful candidate will be responsible for mapping … documenting, and maintaining data flows across multiple systems, enabling greater transparency, compliance, and data quality across the organisation. Key Responsibilities Map and document data flows and transformations across complex systems. Develop and enforce governance policies and standards relating to data lineage. Provide lineage evidence to support compliance and audit requirements. Collaborate with IT teams, data More ❯

Our client, a leading global organization, is partnering with a prestigious end client based in Wokingham. Were excited to offer an outstanding opportunity for askilled Data Specialist - Master and Reference Data Management to join a dynamic IT team . If you are interested and have the relevant skills and experience, please apply promptly to discuss further. Job Title … Data Specialist Master and Reference Data Management Location: Wokingham (Hybrid 3 days onsite per week) Contract Type: 6-Month Contract (with potential extension) Day Rate: £470 (Inside IR35) About the Role We are seeking a Data Specialist with strong expertise in master and reference data management to support governance and provenance work within a large-scale … transformation programme. The role requires excellent stakeholder management and communication skills, with the ability to bridge business and technical teams. Key Responsibilities Oversee master and reference data governance, ensuring accountability, transparency, and stewardship across the organisation. Develop, implement, and enforce data governance policies and standards to drive consistency across business units. Manage change processes to evaluate, approve, and More ❯

value of new ideas, integrating AI with front-end and back-end systems. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical Innovation: Leverage technologies like large language … environments (AWS/Azure) and enhance deployment efficiency with CI/CD pipelines. Design Skills Application: Contribute to user interface and experience aspects, focusing on intuitive AI interactions and data visualizations. Knowledge Sharing: Mentor team members in emerging AI technologies and modern development practices. Stakeholder Interaction: Collaborate with stakeholders to refine requirements and validate technical aspects of innovations. Skills … full-stack developer with proficiency in multiple languages and technologies, particularly in AI engineering. Hands-on experience with advanced technologies such as large language models (LLMs), computer vision, and data science. Strong background in innovation and POC development, with a focus on idea generation rather than product management. Experience in startups or small businesses, adept at navigating agile environments More ❯

Integrate security into DevSecOps and MLOps pipelines , including CI/CD and infrastructure-as-code environments. Drive adoption of Zero Trust principles, encryption standards, IAM policies, and network/data/application security controls. Collaborate with data scientists, ML engineers, and IT security teams to embed security throughout AI/ML system design and deployment. Your Profile 15+ … including PSD2, GDPR, DORA, and EBA regulatory requirements. Experience designing and securing AI/ML and MLOps environments , including awareness of risks such as adversarial attacks, model poisoning, and data privacy issues. Deep knowledge of: Identity & Access Management (IAM) Network and Application Security Data Protection & Encryption Kubernetes, Containers, and DevSecOps/MLOps practices SIEM, logging, and monitoring Zero More ❯

projects. Why Join? Here, your work means more: Make an impact by shaping AI security frameworks for innovative enterprise projects. Be part of challenging, future-defining programmes in AI, data, and cloud security. Collaborate with industry experts and multidisciplinary teams , while driving standards in one of the most rapidly evolving technology landscapes. The Role As an AI Security Architect … you will: Define and implement AI/ML security strategies, standards, and guidelines . Design and own enterprise security architecture for AI/ML systems, CI/CD, and data pipelines. Conduct security risk assessments and threat modelling for AI/ML workloads. Support testing of AI/ML models, including trustworthiness, fairness, bias, and adversarial attack detection. Collaborate … with data scientists, engineers, and stakeholders to embed security controls in AI/ML pipelines. Enforce robust access control, authentication, and encryption standards . Stay ahead of emerging AI security threats, regulations, and frameworks . Provide advisory guidance to cross-functional teams during AI/ML system design and deployment. Contribute to regulatory compliance efforts (EU AI Act, GDPR More ❯