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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science & AI Graduate Scheme (Edinburgh) - **Company:** Lloyd's - **Location:** Bristol, UK (Remote available) - **Experience:** Starter - **Salary:** £48,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Big Data, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Information Engineering, DevOps, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Apache Spark, Deep Learning, Generative AI, Build Management, Scikit Learn, Xgboost, Machine Learning Operations, Virtual Agents, Data Pipelines - **Published:** September 13, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5881104848 ## About the Role * While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. * We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. * Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. ## Description * A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. * A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. * Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing * Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. * Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. * Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. * Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. * Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. * AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. * Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: * Python & SQL * Cloud platforms like GCP * Data Analysis * Machine learning techniques, both theory and application * Generative and Agentic AI * AI Solution design and evaluation techniques * CI/CD and DevOps …all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: * Foundations of machine learning * AI literacy * Ensemble methods & model optimisation * Databases & big data * Neural networks & deep learning * LLM foundations, engineering, customisation and integration * Generative and Agentic AI * MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: * Up to three Stanford Artificial Intelligence Professional Programmes * Google Cloud certifications * Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner * A dedicated mentor * A close-knit community of data professional who speak fluent Python… and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership… or even inventing the next big thing that no-one has thought of yet. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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