4 of 4 Data Privacy Jobs in Suffolk

primary relationship lead for key agency partner. Establish governance frameworks that support consistent delivery, transparency and accountability across all relationships. Challenge agency recommendations through data, performance trends and market benchmarking. Ensure agency contributes proactively to JD Sports' growth plans through innovation, audience insights and media best practice. Commercial Management … budget governance. Monitor agency initiatives and identify risks, inefficiencies or opportunities for improved return on investment. Ensure compliance with internal governance, auditing requirements and data privacy regulations. Cross-Functional Leadership Build strong relationships across Digital Media, Ecommerce, Brand Marketing, Analytics, Procurement, Finance, Customer Insight, Measurement and Data ...

fast access to diagnosis and treatment when they need it. Job overview: As part of our ambitious strategy, AXA Health is seeking a skilled Data Scientist to join our dynamic and innovative team. You’ll play a key role in designing, developing and deploying data science … solutions that deliver real commercial value and improve the health and well-being of our customers. If you're passionate about using data and AI to make a genuine difference, we want to hear from you! Key responsibilities: Lead and deliver data science and AI projects across ...

supporting the continued growth of our products and international operations What you’ll be doing: Provide pragmatic legal advice across corporate governance, commercial contracts, data privacy, and employment-related matters, acting as the first point of contact for legal queries across the business. Draft, review, negotiate … risk management and dispute resolution, ensuring minimal legal exposure for Beyond. Stay updated on relevant legal developments in the tech industry, particularly around data protection (GDPR) and other emerging regulatory frameworks. Act as a liaison with external legal counsel on specialised issues and litigation matters when required. Serve ...

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 ...