At a Glance
- Tasks: Lead the delivery of innovative AI solutions and mentor junior team members.
- Company: Join Lloyds Banking Group, a leader in AI transformation.
- Benefits: Competitive salary, ethical work environment, and opportunities for continuous learning.
- Other info: Collaborative culture with a focus on responsible AI practices.
- Why this job: Make a real impact in banking with cutting-edge AI technology.
- Qualifications: Master’s or PhD in relevant STEM field and extensive AI/ML experience.
The predicted salary is between 80000 - 100000 £ per year.
Requirements
- Extensive experience developing and deploying AI systems and machine learning models in a production environment
- Master’s or PhD (preferred) in Computer Science, Mathematics, Engineering, or relevant STEM field
- Deep knowledge of AI/ML concepts, algorithms, and techniques, including Generative AI, Agentic AI and reinforcement learning
- Strong proficiency in programming languages, particularly Python
- Expertise in AI/ML frameworks such as PyTorch/TensorFlow, Scikit-learn, Statsmodels, LangGraph and ADK
- Familiarity with cloud platforms (preferably Google Cloud Platform and Vertex AI)
- Strong analytical, critical thinking, and complex problem-solving abilities
- 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
- Adaptability and a passion for continuous learning to keep up with the rapidly evolving AI landscape
What the job involves
- 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
- AI Solution Design: 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
- Project Delivery: 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
- Collaboration: Lead and work within cross‑functional teams comprising of business leaders, product managers, data scientists, data engineers and ML/AI engineers
- Responsible AI Governance: Partner with the Responsible AI team to embed robust ethical principles, bias mitigation techniques, and regulatory compliance into all AI development workflows
- Team Mentorship: Coach and mentor junior data scientists and AI engineers, helping to grow team capabilities and fostering a culture of continuous learning and curiosity
- Continuous Learning: 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
Lead AI Scientist employer: Lloyd's
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment where innovation meets ethical responsibility in the realm of AI. With a strong commitment to employee growth, you will have access to mentorship opportunities and continuous learning initiatives, all while collaborating with diverse teams to tackle complex financial challenges. Located at the heart of the UK's banking sector, this role not only allows you to lead cutting-edge AI projects but also to contribute to meaningful solutions that enhance customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Scientist
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, and any cool stuff you've built. This is your chance to demonstrate your expertise in Python, TensorFlow, and all those fancy frameworks. Make it easy for employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with AI ethics and problem-solving. Practice common interview questions and think about how you can convey complex ideas simply. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining us at StudySmarter, where we’re all about innovation and collaboration in the AI space.
We think you need these skills to ace Lead AI Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your extensive experience in developing and deploying AI systems. Use specific examples that showcase your expertise in AI/ML concepts, algorithms, and frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about AI and how your skills align with our mission at StudySmarter. Don’t forget to mention your adaptability and commitment to ethical AI practices.
Showcase Your Projects:Include any relevant projects or case studies in your application. This could be anything from a personal project to professional work that demonstrates your problem-solving abilities and technical skills in AI and machine learning.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Lloyd's
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML concepts, especially Generative AI and reinforcement learning. Be ready to discuss specific algorithms and techniques you've used in past projects, as well as how they can be applied to real-world problems.
✨Show Off Your Coding Skills
Since strong proficiency in Python is a must, practice coding challenges or projects that showcase your skills. Be prepared to explain your thought process and the choices you made while coding, especially when using frameworks like PyTorch or TensorFlow.
✨Communicate Clearly
You’ll need to convey complex technical information to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the business value they delivered. This will demonstrate your excellent communication and interpersonal skills.
✨Emphasise Ethical Awareness
With a focus on responsible AI, be ready to discuss your understanding of AI ethics, risk mitigation, and bias detection. Share examples of how you've incorporated ethical considerations into your work, showing that you’re not just technically skilled but also socially responsible.
