2 of 2 Data Privacy Jobs in Camden Town

The primary responsibility of the Technology Data Privacy Legal Counsel is, in conjunction with the Senior Data Privacy Director and other members of the Data Privacy team, to help Diageo leverage data as a strategic and commercial asset. This role provides strategic guidance on new technologies; advising business users and … key partners within Digital & Technology. The Technology Data Privacy Legal Counsel will have deep working knowledge of fast-developing technologies in the context of data privacy, as well as an ability to deliver commercially-minded advice on the implementation of new technologies within Diageo's ecosystem. The successful person will operate at a strategic … initiative. They will need good interpersonal and influencing skills; being flexible in their approach to supporting different priorities and be confident to support with presentations and training sessions on data privacy and protection implications of new technologies/potential data uses, to diverse audiences. They will partner with market representatives from legal, Data & Technology teams More ❯

Specialist from a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance decision-making, optimise processes, and … experiment with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages … e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively More ❯