Join us as a Generative AI Research Scientist
- You’ll drive innovation in how the bank applies generative AI (GenAI), identifying high-value opportunities, proving what works, and shaping next-generation products and customer experiences
- Act as the bank's technical authority on GenAI, guiding internal adoption while representing our capabilities externally across the wider AI community
- You’ll have the opportunity to work at the cutting edge of generative AI, exploring emerging techniques and turning research into real‑world solutions that deliver impact at scale
What you’ll do
As our Generative AI Research Scientist, you’ll bring strong research rigour to everything you do, from problem framing and model selection to building defensible, evidence-based outcomes. You’ll explore and evaluate emerging techniques, including new model families, retrieval‑augmented generation, agentic patterns and multimodal approaches, and run experiments to determine what works best for the business.
You’ll lead the strategy for customisation, deciding on what to fine-tune, which data to use, and how success is measured. You’ll also translate complex business challenges into clear machine learning problems and identify which GenAI approaches are worth pursuing and why. You’ll stay at the forefront of scientific advancements, applying the latest research to uncover new opportunities and drive innovation across the bank.
You’ll also be:
- Taking ownership of evaluation, designing robust benchmarks, test sets and statistical analyses to assess accuracy, safety, bias and model robustness
- Prototyping innovative GenAI solutions, working with product and business teams to test ideas and validate them using real users and data
- Defining quality and safety standards, setting the bar solutions must meet before scaling across the organisation
- Advising on model risk, interpretability, and regulatory considerations so proposed approaches are robust, transparent, and fit for purpose
- Publishing research and contributing to intellectual property, including papers, patents or recognised contributions to the applied GenAI community
- Collaborating with interdisciplinary team, including research and software engineers and cross functional partners, to develop solutions that support the productionisation of research outcomes
The skills you'll need
To thrive in this role, you’ll bring a strong foundation in machine learning, statistics and experimental design, combined with hands‑on experience in fine‑tuning, prompt engineering and rigorous model evaluation. You’ll have a deep understanding of GenAI architectures and their trade‑offs, along with the ability to design experiments, interpret results and defend conclusions using robust, evidence‑based approaches. You’ll have strong judgement in identifying high‑impact opportunities, paired with the ability to assess which problems are tractable and which approaches will deliver meaningful outcomes.
You’ll also bring:
- An understanding of model risk, data governance and financial‑services regulation
- The ability to communicate complex ideas clearly, engaging both technical and non‑technical stakeholders, including risk and compliance teams
- Sound decision‑making in selecting appropriate methods and techniques, applying the right tools to solve problems effectively and efficiently
- A track record of taking GenAI concepts from idea to validated proposition, demonstrating the ability to translate research into practical, real‑world impact
Hours
35
Job Posting Closing Date:
12/06/2026
Ways of Working:Hybrid
