4 of 4 Permanent Data Privacy Jobs in Scotland

Data Governance Lead Edinburgh | Personal Contract (dependent on skills and qualifications) Full- time Joint-contribution pension from 6% (12% total) – Enhanced maternity & family leave – Life assurance – HolidayPlus – Virtual GP & Employee Assistance Programme plus retail and leisure discounts & many more. REQ5607 The purpose of this role is to mature … data ownership capability across data by embedding foundational data ownership. Data owners should understand what data they own and adopt their responsibilities for managing that data (in collaboration with IT) so it is fit for purpose in delivering business outcomes. We deliver safety, warmth ...

Project Manager Stellar Omada Glasgow - Hybrid Job Title: Project Manager (Data Privacy & Protection) Location: Glasgow, Scotland - 2 days in the office - 3 at home Company Stellar Omada is one of Scotland’s fastest-growing IT Services companies, specialising in Programme Delivery, Testing Services, Digital Transformation, and Innovation. … economy and development of digital and technology education sets us apart. Responsibilities Project Planning and Execution: Develop a comprehensive project plan specifically tailored to Data Lifecycle Management , outlining tasks for identifying, isolating, and removing customer data from legacy and cloud platforms. Execute project plans effectively, ensuring that data ...

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 ...