4 of 4 Data Privacy Jobs in the North East

facilitating meetings with suppliers and internal SMEs to complete due-diligence questionnaires and collate evidence. Assessing and escalating risks across information security, operational resilience, data privacy and IT service continuity. Managing and updating Kanban boards (Microsoft Planner), trackers and workplans. Presenting risk findings clearly and concisely … translating technical information into accessible summaries. Handling supplier pushbacks professionally and keeping delivery aligned with strict programme deadlines. Working collaboratively across legal, procurement, compliance, data privacy, business owners and technology teams. Key Skills & Experience Experience in supplier risk, third-party risk, assurance, or operational resilience . Knowledge ...

Network operates as a recruitment agency for this role. Due to the high volume of applications, we will contact shortlisted candidates within three days. Data Privacy and Processing By applying for this role, you are agreeing for The Education Network to process and store your personal data … your CV and application form, for the purposes of recruitment. The Education Network is committed to protecting your privacy and handling your data in accordance with GDPR. Your information will be kept securely and will not be shared with third parties without your consent. We will retain ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...