At a Glance
- Tasks: Lead the delivery of innovative AI solutions and guide teams in ethical implementation.
- Company: Join Lloyds Banking Group, a leader in AI transformation within the banking sector.
- Benefits: Enjoy generous holidays, flexible working, health insurance, and great financial perks.
- Why this job: Make a real impact in AI while mentoring future talent and solving complex challenges.
- Qualifications: Expertise in AI/ML, strong analytical skills, and a passion for continuous learning.
The predicted salary is between 60000 - 80000 £ per year.
As an AI technical delivery lead at Lloyds Banking Group, you will be an expert practitioner at the forefront of the Group’s AI transformation. In this role, you will lead the technical delivery of cutting‑edge artificial intelligence, machine learning, and generative AI solutions, guiding their application to drive business value while ensuring ethical and responsible implementation.
You will work within the AI Centre of Excellence, collaborating with diverse teams to solve complex financial challenges and create innovative, customer‑centric banking solutions.
- Lead the development of AI use‑case solution designs, balancing innovation with practicality.
- Apply appropriate data science techniques to develop and/or tune models and evaluate performance.
- Oversee the entire data science / AI delivery lifecycle, from data exploration to model development/tuning to deployment, monitoring, and performance optimisation using ML and AI Ops best practices.
- Lead and work within cross‑functional teams comprising of business leaders, product managers, data scientists, data engineers and ML/AI engineers.
- Partner with the Responsible AI team to embed robust ethical principles, bias mitigation techniques, and regulatory compliance into all AI development workflows.
- Coach and mentor junior data scientists and AI engineers, helping to grow team capabilities and fostering a culture of continuous learning and curiosity.
- Maintain an active view of emerging tools and techniques. Develop proof‑of‑concepts to demonstrate new capabilities. Guide the team in solving complex AI use cases and improving existing approaches.
Benefits:
- A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
- A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
- Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
- Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
- Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
- Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
- Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
- Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
- Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme. You can decide how much you save and get a say in where your contributions are invested.
Qualifications:
- Extensive experience developing and deploying AI systems and machine learning models in a production environment.
- Strong analytical, critical thinking, and complex problem‑solving abilities.
- Master’s or PhD (preferred) in Computer Science, Mathematics, Engineering, or relevant STEM field.
- Expertise in AI/ML frameworks such as PyTorch, TensorFlow, Scikit‑learn, Statsmodels, LangGraph and ADK.
- Deep knowledge of AI/ML concepts, algorithms, and techniques, including Generative AI, Agentic AI and reinforcement learning.
- Adaptability and a passion for continuous learning to keep up with the rapidly evolving AI landscape.
- Excellent communication, interpersonal, and influencing skills, with the ability to convey business information from technical subject matter.
- A high degree of ethical awareness, with an understanding of AI ethics, risk mitigation, and bias detection.
- Familiarity with cloud platforms (preferably Google Cloud Platform and Vertex AI).
- Strong proficiency in programming languages, particularly Python.
Lead AI Scientist in Bristol employer: Lloyd's
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment where innovation meets ethical responsibility in AI. With generous benefits such as flexible working arrangements, extensive family leave, and a strong focus on employee growth through mentorship and continuous learning, you will thrive in a culture that values collaboration and creativity. Located at the heart of the financial sector, this role provides the unique opportunity to lead transformative AI initiatives that directly impact customer-centric banking solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Scientist in Bristol
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lloyd's.
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We think you need these skills to ace Lead AI Scientist in Bristol
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lloyd's, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lloyd's. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lloyd's
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lloyd's!
✨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.
