2 of 2 Data Governance Jobs in the City of Westminster

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 not need any previous experience as full training will be provided. … pace that suits you.The traineeship is 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 level all the way … through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics More ❯

Idea to Market" mega process. This role is focused on driving the technical implementation of a simplified, digitized, and globally scalable future state, addressing key pain points across process, data, and integration. As the technical lead, this individual will be responsible for translating business requirements into robust, scalable system solutions-defining and validating technical specifications, system configurations, and data … technical design and build activities, the cPLM Digital Lead will be accountable for all deployment-related technical deliverables-overseeing system configuration, integration with enterprise platforms (e.g., ERP, PIM, Regulatory), data migration, testing, and technical cutover. They will ensure solution quality, performance, and compliance with global architecture standards. What are we looking for? Minimum bachelor's degree in science or … deployment. Translate business process requirements into scalable technical designs and system architectures. Lead system integration efforts across the digital ecosystem (e.g., ERP, PIM, Regulatory, Quality, Manufacturing systems). Guide data architecture decisions, ensuring accurate and consistent product data flow throughout the value chain. Oversee deployment activities, including technical planning, data migration, testing, issue resolution, and hypercare. Collaborate More ❯