At a Glance
- Tasks: Lead AI projects that transform finance and solve complex business challenges.
- Company: Join a pioneering finance company with a focus on innovation and collaboration.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace with support for diverse backgrounds and career development.
- Why this job: Shape the future of finance with cutting-edge AI solutions and impactful projects.
- Qualifications: Experience in data science and AI, with strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
We're rebooting an icon and building the future of finance. Find out why you should join us.
Agile Working Options: Job Share; Hybrid Working
Location(s): London or Edinburgh
Hours: Full time
Working Pattern: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Edinburgh office.
About this Opportunity: In Business & Commercial Banking (BCB) we're developing our client value proposition, shaping our digital and data strategy, and driving commercial growth initiatives. As a Lead Data & AI Scientist, you’ll play a pivotal role in shaping and delivering ground breaking AI solutions that solve complex business challenges for BCB. From predictive and generative AI to agentic systems, you’ll lead initiatives that transform digital experiences, automate processes, and unlock data-driven insights for colleagues and clients. You’ll provide technical leadership, define our capability roadmap, and ensure the delivery of high-quality, scalable models. This role also involves mentoring the Data Science & AI team, encouraging knowledge sharing, and embedding industry guidelines.
What you’ll be doing:
- Conceptualise and lead technology-based solutions that solve complex business problems.
- Improve digital experiences, automate processes, and provide data-driven insights to support colleague and client journeys.
- Shape and define the capability roadmap for Data & AI, including cloud-native solutions and scalable architectures.
- Provide technical leadership, coaching, and mentoring for data scientists and engineers.
- Ensure rigorous quality assurance in model development, testing, and deployment.
- Develop proofs-of-concept to demonstrate new capabilities and accelerate adoption.
- Partner with colleagues to understand business requirements and translate them into actionable AI solutions.
- Advocate for responsible AI practices and compliance with governance frameworks.
- Guide the team in solving complex AI use cases and improving existing approaches.
- Contribute to the design of training curricula and professional development paths for the Data & AI community.
- Drive measurable business outcomes through AI solutions aligned to strategic priorities.
- Ensure solutions are scalable, secure, and aligned with Group Data & AI standards.
What we’re looking for:
- Set the strategic direction for Data & AI across BCB, aligning investment and priorities with business outcomes.
- Lead the design and delivery of enterprise-level AI solutions across client journeys, automation, and insight generation.
- Own the Data & AI capability roadmap, ensuring scalable, cloud-based architectures that support long‑term growth.
- Provide technical and thought leadership to the Data Science & AI team, building capability and setting engineering standards.
- Oversee the full lifecycle of AI solutions, ensuring robust development, deployment, monitoring, and continuous improvement.
- Partner with senior leaders to shape high-value AI use cases and influence decision‑making at leadership level.
- Embed responsible AI practices, ensuring all solutions meet governance, risk, and regulatory requirements.
- Drive measurable commercial and operational outcomes, with clear accountability for impact, adoption, and value delivered.
We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
This is a place for you: We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants with a disability, long‑term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
Ready for a career where you’ll learn and thrive? Apply today and find out more.
Data Scientist in London employer: LLOYDS BANKING GROUP
Join us in London or Edinburgh as a Lead Data & AI Scientist, where you'll be at the forefront of transforming the future of finance through innovative AI solutions. We pride ourselves on a hybrid working culture that promotes flexibility and collaboration, alongside robust professional development opportunities to help you grow your career. With a commitment to responsible AI practices and a supportive environment for all employees, we ensure that your contributions will drive meaningful impact while fostering an inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
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We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
