Data Science and AI Placement - Edinburgh
Lloyds Banking Group Edinburgh
Salary: £25,000 - 25,000 per year
Requirements:
- You’ll be in your penultimate year at university.
- Strong knowledge, understanding, and technical skills aligned to the role are highly recommended.
- Full, unlimited right to work in the UK as we cannot offer sponsorship for this programme.
- Knowledge of analytical techniques and experience in manipulating and deriving insight from data.
- Python coding experience and knowledge of SQL are essential.
- Ability to use statistical modelling techniques, as this will form part of the assessments.
Responsibilities:
- Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioral analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost.
- Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring.
- Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modeling to extract insights and drive decision-making.
- Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs.
- Design agentic AI systems that integrate autonomous decision-making and multi-agent collaboration, contributing to next-gen banking solutions.
- Innovate on Google Cloud Platform (GCP), scaling from experimentation to production.
- Learn to deliver AI in an ethical and responsible way, understanding AI risks, bias mitigation, explainability, and governance frameworks.
Technologies:
- AI
- CI/CD
- Cloud
- GCP
- Machine Learning
- PyTorch
- Python
- SQL
- Spark
- TensorFlow
- Big Data
- DevOps
- LLM
- Network
More:
At Lloyds Banking Group, we embrace the AI era by integrating data, analytics, and AI into every decision we make. Our Chief Data & Analytics Office is dedicated to creating real impact from day one. This internship, located in Edinburgh with a hybrid working policy, offers hands-on experience working with significant datasets and advanced technologies across our passionate team of data professionals.You will evolve your technical skills rapidly, gain a solid understanding of AI ethics, and have opportunities for personal development through mentoring, projects, and partnerships with leading educational institutions. Join us in shaping the future of financial services!
last updated 1 week of 2026
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