We are looking for a Senior Data Scientist to join our AI Services team, where you will play a key role in building a centre of excellence in data science, aligned with the bank’s strategic priorities. You will be focused on the design and delivery of end-to-end data science and AI initiatives that have real impact across the organisation.
Requirements
- Hands-on AI/ML practitioner with experience building, shipping, and supporting real solutions in complex, regulated, corporate environments
- Deep industry experience designing, building, deploying and operating machine learning solutions in production
- Practical experience with Generative AI and LLMs, including using these technologies to solve tangible problems, improve customer or employee experiences, and drive operational or commercial outcomes
- Strong hands-on experience with ML frameworks such as PyTorch, TensorFlow or Keras, and a clear ability to choose the right tools for the problem at hand
- Proven experience working across NLP, GenAI and/or Computer Vision, including practical exposure to technologies such as LLMs and prompt-based systems, Text analytics, speech/audio, and document understanding, Image or vision-based models, Platforms such as OpenAI APIs, Azure AI/Microsoft Cognitive Services, or equivalent enterprise services
- Experience building LLM-powered applications using frameworks like LangChain, LlamaIndex, AutoGen, DSPy (or similar) — with an emphasis on orchestration, retrieval-augmented generation (RAG), evaluation, and production readiness
- Familiarity with graph databases and how they are used in real-world solution design
- Strong Python engineering skills, with a focus on readable, maintainable, testable code suitable for long-lived enterprise systems
- Hands-on experience working in cloud environments such as Azure or AWS, including deploying, operating, and supporting ML/AI workloads in secure, enterprise settings
Benefits
- Special offers on banking products
- Discounts from top brands
- Generous employee-only mortgage rates
- Flexible work arrangements
- Leave options including Culture, Lifestyle and Wellbeing leave
- Tailored learning and development opportunities
- Opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives

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