4 of 4 Data Privacy Jobs in Bristol

Data Protection Manager is required by a leading, professional services organisation based in Bristol on a hybrid working basis. A leading organisation within the professional services sector is seeking an experienced Data Protection Manager to play a key role in shaping and embedding a robust data privacy framework across the business. This is a senior, highly visible position responsible for driving data protection strategy, leading a small specialist team, and ensuring compliance with evolving privacy regulations. The role requires strong stakeholder engagement, acting as a trusted advisor across the organisation while maintaining ...

grow across the Defence sector. We are looking for a motivated, curious, and technically minded Full Stack Engineer to help us scale our data and analytics capabilities across the UK and international markets. In this role, you will contribute to the design, development and maintenance of the data … quality, sustainable development. As a Full Stack Engineer, you will: • Design, develop, automatically test and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. • Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). • Develop ...

success. They’re now looking for a Front End Product Owner who thrives on improving digital journeys, running structured experiments and translating behavioural data into meaningful product improvements. The Role This is a hands on product ownership role focused on the end to end D2C customer experience. You will … will define clear success metrics for new features and enhancements, monitoring performance post launch and iterating quickly. This is an environment that values data over opinion. You’ll use behavioural analytics tools such as Contentsquare to identify friction points and drop off patterns, supporting structured A/B testing ...

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 ...