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Lloyds Banking Group is seeking a Lead Data Scientist to drive cyber security analytics and ML innovation in a hybrid UK-based role. You will own detection strategies, lead a team of data scientists, and collaborate with data engineers to deploy scalable ML pipelines on GCP.
The role requires strong Python/Labelling ML expertise, experience with LLMs, and a commitment to ethical AI and regulatory alignment within a data-rich banking environment.
Posted date Posted Today
Job ID 159847
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Job Share; Hybrid Working
At Lloyds Banking Group, we’re moving to the next stages of our digital transformation, and it’s our job within the Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO’s Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams.
In this role, you’ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced AI and machine learning. This is a rare opportunity to build the future of cybersecurity in one of the UK’s most data-rich environments.
Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re growing with purpose. Join us on our journey and you will too…
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So, if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.