4 of 4 Data Governance Jobs in Nottinghamshire

every day, ensuring consumers enjoy the very best, whenever and wherever they shop. Role Purpose: We are seeking a detail-oriented and analytical Master Data Analyst to join our team. The primary responsibility of this role is to ensure the accuracy, consistency, and integrity of our organization's master … data. The Master Data Analyst will be responsible for creating and maintaining master data records to support business operations and decision-making processes. The ideal candidate will have a strong understanding of master data management principles, excellent analytical skills, and the ability to collaborate effectively with cross ...

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will … completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner ...

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data … Dublin, Ireland. Learn more at experianplc.com. Internal Grade D/EB8 Job Description Experian Global Security Office are looking for a Senior Cloud Data Security Engineer. You will be a key part of our Data Security Posture Management (DSPM) program. Helping to strengthen our security posture, safeguard sensitive ...

Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. … Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models ...