Senior Data Scientist

Job Title: Salary: £70,929 - £86,691 Location: Manchester Hours: Full time Working Pattern: Hybrid, 40% (or two days) in an office site Senior Data ScientistLike the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the everchanging needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too Lloyds Banking Group is the UK's leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. We're building the bank of the future, and we need your help. The Hive Lab has a clear purpose - to 'unleash Agentic Intelligence and transform Operating Models with Autonomous AI Workflows' and is committed to focussing on the latest technologies in the market and pushing the boundaries on the art of the possible through constant innovation. As a Senior Data Scientist in the lab, you'll lead the development of advanced AI-driven solutions-leveraging deep expertise in data science, Language Models, and Generative AI within a cloud-native ecosystem. You'll design and implement scalable models, drive experimentation, and collaborate closely with engineering teams to transform cutting-edge research into production-ready capabilities. Hands-on experience with specialised agentic frameworks such as LangGraph or CrewAI.Experience in designing and analysing A/B tests or other controlled experimentation methods.Familiarity with Reinforcement Learning with Human Feedback (RLHF) or similar techniques for iterative model improvement. Experience working within regulated environments and a strong understanding of model risk management. Experience in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics.Extensive hands-on experience in data science, with a proven track record of architecting and deploying machine learning models into production environments. Proficiency in Python (including pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL.Deep understanding of both supervised and unsupervised learning, with applied experience in areas such as Natural Language Processing (NLP), classification, or anomaly detection. Strong knowledge of agentic AI architectures, multi-step reasoning frameworks, and autonomous systems. Practical experience in operationalizing LLMs, including fine-tuning, evaluation, and integration into production workflows. Proficiency with MLOps frameworks (e.g., MLflow, Kubeflow) and version control systems (Git).Hands-on experience with specialised agentic frameworks such as LangGraph or CrewAI.Experience in designing and analysing A/B tests or other controlled experimentation methods.Familiarity with Reinforcement Learning with Human Feedback (RLHF) or similar techniques for iterative model improvement. Experience working within regulated environments and a strong understanding of model risk management. We also offer a wide ranging benefits package, which includes Benefits you can adapt to your lifestyle, such as discounted shopping With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.