Data governance jobs in United Kingdom

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

The Role In this role, you will lead the design, development, and execution of our most complex and high-impact AI and data-driven security initiatives across the organisation. You will define the strategic direction for AI and data security architecture, owning the roadmap that ensures our systems and models are secure, resilient, and compliant by design. As a key technical leader, you will drive the adoption of modern security practices throughout the AI/ML development lifecycle—embedding security into data pipelines, model training workflows, infrastructure, APIs, CI/CD pipelines, and cloud-native platforms. You will work closely with engineering, MLOps, and product teams to ensure that models and data systems are built securely and scale effectively in a rapidly evolving threat landscape. You will also oversee the design and integration of enterprise-grade security and privacy controls across AI platforms, cloud environments, and data architecture—ensuring alignment with compliance frameworks (e.g., GDPR, ISO 27001, NIST AI RMF) and ethical AI principles. Collaborating cross-functionally with Engineering, DevOps, Data, Compliance, and Architecture teams, you’ll champion automation, threat modelling, privacy-by-design, and security-by-default across our AI and data ecosystem. This is a pivotal role that blends deep technical expertise with strategic foresight, empowering teams, strengthening our security posture, and shaping the future of trustworthy, secure AI innovation at scale. About Us At ZOG Global, we don’t just provide IT solutions, we build secure, intelligent, and scalable digital ecosystems. As a leading IT consultancy services in the UK, specialising in cybersecurity, automation, and software development, we help businesses stay competitive and secure. Our expertise spans advanced cybersecurity solutions, advanced AI-driven automation, and next-gen software development, ensuring our clients have the tools to innovate fearlessly while staying secure. At ZOG Global, we foster a culture of innovation, collaboration, and continuous learning, where every team member plays a crucial role in shaping the future of secure technology. Join us to work on challenging, high-impact projects, collaborate with some of the brightest minds in the industry, and drive security innovation at scale! Key Responsibilities • Secure AI/ML workloads running on cloud-native platforms such as SageMaker, Azure ML, Vertex AI, and custom Kubernetes-based training clusters. • Design isolation strategies and access controls for GPU-enabled instances, model endpoints, and distributed training environments. • Assess cloud-hosted AI services and APIs for misconfigurations, data leakage, and privilege escalation risks. • Ensure adherence to AI-specific regulatory frameworks (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) and responsible AI principles. • Contribute to the development of internal AI governance policies covering model transparency, fairness, and accountability. • Collaborate with legal, compliance, and data teams to assess ethical risks and implement guardrails for generative AI usage. • Design secure data pipelines and storage architectures that support privacy-preserving AI workflows and model training at scale. • Implement differential privacy, encryption-at-rest/in-transit, and federated learning where applicable to protect sensitive training data. • Evaluate and secure third-party datasets, embeddings, and model artefacts integrated into enterprise AI solutions. • Collaborate with data architect and analysts to assess model explainability, adversarial robustness, and model inversion risks. • Architect end-to-end AI/ML platforms with security-by-design principles, from data ingestion to inference. • Define secure model-serving architectures, including API protection, input validation, and rate-limiting mechanisms. • Support the design of scalable LLM and vector database infrastructure with appropriate access controls and logging. • Promote security standards for AI model reuse, supply chain integrity (e.g., ML model provenance), and open-source model vetting. • Embed security into CI/CD pipelines using automated security tools. • Develop and deploy security-as-code solutions for cloud and container environments. • Automate security compliance checks, vulnerability scanning, and incident response workflows. • Secure cloud-native applications, Kubernetes clusters, and serverless environments. • Perform security assessments, threat modeling, and risk mitigation strategies. • Ensure adherence to industry security frameworks (e.g., NIST, ISO 27001, CIS, SOC 2). • Define security policies, best practices, and threat mitigation strategies. • Drive security awareness and DevSecOps culture across teams. What We’re Looking For • 6+ years of experience in cybersecurity, including 3+ years in DevSecOps, Application Security, Cloud Security, or Security Architecture roles, ideally with exposure to data-driven or AI/ML environments in enterprise or consultancy settings. • Professional certifications that demonstrate depth and breadth in cloud and security domains (e.g., CISSP, CCSP, SC-100, OSCP, AWS Security Specialty, or DevSecOps certifications). • Strong understanding of AI/ML security principles, including model integrity, data lineage, adversarial threat mitigation, input validation, and governance of generative AI systems in line with emerging AI regulations and privacy standards. • Demonstrated ability to embed security into CI/CD and MLOps pipelines, driving DevSecOps automation using Infrastructure as Code (IaC) and security-as-code practices. • Hands-on experience with security testing frameworks, including SAST, DAST, SCA, fuzz testing, and API security validation, using industry-standard tools and custom automation workflows. • Strong command of cloud platforms (AWS, Azure, GCP), including AI/ML services, Kubernetes, serverless architectures, and container security tooling. • Skilled in automating security controls and infrastructure compliance using tools (Terraform, Ansible, Jenkins, GitHub Actions, or similar). • Deep understanding of SIEM, SOAR, IAM, and cloud-native monitoring for real-time detection, incident response, and compliance reporting. • Proficient in scripting and automation using Python, Bash, Go, or similar languages to build scalable, repeatable security workflows. • Familiarity with key security and compliance frameworks, including MITRE ATT&CK, NIST CSF, OWASP SAMM, CVSS, STRIDE, PCI-DSS, GDPR, and emerging AI-specific standards (e.g., NIST AI RMF, ISO/IEC 42001). • Experience in data and AI security architecture, including data classification, secure data lakes, model provenance, encryption, key management, and regulatory compliance across hybrid cloud ecosystems. • Ability to design secure, scalable microservices and model-serving architectures, advocate for Zero Trust principles, and drive secure API and identity integration across enterprise environments. • Strong collaborator with experience leading cross-functional security initiatives, participating in vendor/tool evaluations, and aligning architecture with governance requirements. • Effective communicator who can translate complex security and AI risk topics into actionable guidance, foster DevSecOps and MLOps culture, and advocate for security best practices across technical and business teams. • Deep understanding of data security, governance, and compliance in cloud environments. • Experience in compliance processes, interfacing with external consultants, and handling customer security requirements. • Ability to solve highly complex security challenges intuitively and effectively. If you live and breathe AI and application security, can navigate complex systems, crave learning new things, and would like your work to have positive impact on all our initiatives, then this role is for you.

Duties and responsibilities: · Develop any business feature, or customization using Golden Source Component/Tools. · Act as a subject matter expert for Golden Source. · Lead in Golden Source product migration and customization. · Manage business stakeholders. · Manage business requirements and provide required solutions in the vendor product (Golden Source). · Support the instrument Management system (mostly in the UK time Zone). · Act as a bridge between onshore and offshore teams for business requirements. ** Skills and Qualifications:** · Strong understanding of data management principles, including data governance, data quality, and data lifecycle management. · A bachelor’s or master’s degree is required and a required experience. · Excellent verbal and written communication skills. · Strong leadership skills. · Proficiency in data analytics and business intelligence tools.

4151 SALES ADMINISTRATORS Job Summary: The Sales Administrator Head of the Department is responsible for overseeing the administrative functions that support the sales team. This role requires a strategic and detail-oriented individual to manage and streamline processes, ensure data accuracy, support sales operations, and lead a team of sales administrators. The ideal candidate will possess excellent organizational skills, strong leadership capabilities, and a thorough understanding of sales processes. Key Responsibilities: Leadership and Management: Lead, mentor, and manage the sales administration team to ensure high performance and professional development. Develop and implement training programs for new sales administrators. Sales Support: Oversee the administration and processing of sales orders, contracts, and related documentation. Ensure accurate and timely entry of sales data into the CRM system. Reporting and Data Management: Generate and analyze sales reports to provide insights and recommendations to the sales leadership team. Maintain accurate and up-to-date sales records and databases. Compliance and Governance: Ensure compliance with company policies, industry regulations, and legal requirements related to sales activities. Maintain confidentiality and security of sensitive sales information. Customer Interaction: Act as a point of contact for escalated customer inquiries and issues related to sales processes. TYPICAL ENTRY ROUTES AND ASSOCIATED QUALIFICATIONS There are no minimum academic requirements, although entrants typically possess GCSEs/S grades or equivalent qualifications. Training is normally provided on-the-job. NVQs/SVQs in Administration are available at Levels 3 to Level 6.

Woodeaton Manor School is a Foundation Special School located four miles to the Northeast the city of Oxford. The school serves young people aged 7 to 18 with Social, Emotional and Mental Health Difficulties (SEMH) and where many also have a diagnosis of Autism Spectrum Disorder (ASD). Main purpose The school business manager (SBM) is responsible for managing the operation of the business functions of our school, including financial management, health and safety, human resources, compliance, and administration. They will advise on and implement the day-to-day support that enables the school to operate effectively and efficiently, and that allows other members of the leadership teams to focus on teaching and learning. Duties and Responsibilities Leadership · Be responsible for line-managing site and administration support staff, including carrying out long-term resource planning and managing the end-to-end recruitment process, appraisal, and professional development · Implement school-wide changes and allocate resources in line with school improvement plans, putting policies and procedures in place and communicating them to staff · Take all decisions in line with the vision and values of schools, and encourage others to do the same · Implement a marketing plan for schools, which utilises school websites, signage, the prospectus, and communications with current and prospective parents Financial management · Oversee the security and reconciliation of cash in hand and debtors on a day-to-day basis, ensuring money is banked, money owed is collected, and clear records are kept · Ensure value for money within procurement of goods and services in line with Trust policy · Manage school’s lettings offer · Ensure the effective and efficient operation of the administration department, delegating tasks to finance/office staff where appropriate Human resources · Maintain the staff absence data in the Trust HR system · Ensure that recruitment, appraisal, disciplinary and grievance policies are administered in accordance with employment law · Advise on HR issues within schools and liaise with the external HR provider Health and safety · With headteachers and premises teams, supervise the maintenance of the school site · Manage the school’s compliance with health and safety regulations, and put in place processes and procedures to ensure the safety of the school · Organise health and safety training for staff Compliance · Manage school’s compliance with statutory obligations, and advise others on the relevant legal, regulatory, and ethical requirements · Track all local school policies and ensure they are updated in accordance with the policy review schedule Administration · Keep records in accordance with the Trust’s record retention schedule and data protection law, ensuring information security and confidentiality at all times · Provide administrative support for headteachers and the governing body · Support the data protection officer with ensuring data protection compliance and helping the school community understand how to comply with data protection law Safeguarding · The school’s business manager will be required to safeguard and promote the welfare of children and young people and follow school policies and the staff code of conduct. This job description sets out the main duties of the post at the date it was drawn up. However, it is not intended to be an exhaustive or definitive list. Such duties may vary from time to time without changing the general character of the post or the level of responsibility entailed. Such variations are a common occurrence and cannot themselves justify a reconsideration of the grading of the post. You may be required to carry out other duties commensurate with your role. Woodeaton Manor School is committed to safeguarding and promoting the welfare of all children and young people according to child protection and safeguarding guidelines. We expect all staff and volunteers to share this commitment. Our recruitment and selection practices reflect this commitment, and the offer made to the successful candidate will be subject to and conditional upon n enhanced Disclosure and Barring Service check and other relevant employment checks outlined in Keeping Children Safe in Education 2024, including a minimum of two references, one of which should be from the applicant’s most recent employer. As part of our recruitment process, we will require you to fill in an overseas check and self-declaration prior to interview. *We reserve the right to close this advertisement earlier if we receive sufficient applications ahead of the closing date. Person specification criteria qualities Qualifications and training · A degree or other relevant qualification - ideally in accountancy, business management or a related discipline (Desirable) · A school business management qualification i.e., Level 4 diploma in school business management (Desirable) · Accountancy qualifications or health and safety training (Desirable) Experience · Successful management experience in a school, or in a relevant field outside education (desirable) · Line management experience · Contributing to staff development · Working with children or young people · Experience of human resources or data protection Skills and knowledge · Good financial management skills · Excellent attention to detail · Previous use of PSF(Iris), BPS (Orovia), Arbor (Desirable) · Effective communication and interpersonal skills · Ability to communicate a vision and inspire others · Ability to build effective working relationships with staff and other stakeholders · Understanding data protection and confidentiality Personal qualities · Commitment to promoting the ethos and values of the schools and getting the best outcomes for all pupils · Commitment to acting with integrity, honesty, loyalty, and fairness to safeguard the assets, financial probity, and reputation of the schools · Ability to work under pressure and prioritise effectively · Commitment to maintaining confidentiality at all times · Commitment to safeguarding and equality · Embraces change well · Deals with difficult situations effectively