4 of 4 Data Privacy Jobs in Berkshire

commercial initiatives and opportunities Analyse current business processes to identify inefficiencies, bottlenecks, and improvement opportunities Develop "as-is" and "to-be" process maps , data flow diagrams, and supporting documentation Build, configure, and maintain compliant digital solutions using approved tools and platforms Liaise with internal teams and third-party suppliers … digital tools, platforms, or processes Support the maintenance of Software Development Lifecycle (SDLC) documentation and best practices Collaborate with EMEA stakeholders on commercial and data privacy-driven initiatives where required Key Accountabilities Ensure all activities comply with quality system and data governance requirements Deliver accurate, timely ...

About the role As a Fleet Data Analyst focuses on the proactive analysis and reporting of data from Geotab, with the aim of enabling timely and informed decision-making across the fleet management team. To support a rule change, this is temporary role is required to shape … have about the role, between 09.00am till 17.00pm Monday to Friday. Shifts: Monday to Friday (37.5 hours) Roles and Responsibilities: Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. Analyse large datasets to identify trends, patterns, and insights that support business decision-making. Present findings ...

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 ...