4 of 4 Data Science Jobs in West End of London

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 ...

experience, coordinating delivery, and ensuring our products meet the evolving needs of the media and analytics ecosystem. You will be responsible for turning complex data and measurement methodologies into intuitive, scalable, commercially strong products - working closely with engineering, data science, commercial, and external stakeholder teams. RSMB … been a specialist in data science and audience measurement for more than 37 years, best known for our long-standing work developing industry-standard methodologies and measurement solutions. We are now building on that heritage through an ambitious product portfolio designed to connect datasets, enrich insight generation ...

even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided … anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping ...

startup. The Tech Stack (Modern & Simple): Core: Python and/or TypeScript. Infrastructure: Azure (Functions, Containers), Kubernetes (managed simply for deployment, not complexity). Data: MongoDB Atlas. AI: Integration of LLM/AI components into a B2B workflow. (beneficial) Philosophy: Event-driven components, CI/CD automation, "boring" tech … function. Technically Versatile: You understand modern cloud-native development and can navigate the ambiguity of integrating AI features without needing to be a Data Scientist. Transparent: You communicate bad news early and good news often. You don't hide behind technical debt. Our client is offering a basic salary ...