At a Glance
- Tasks: Lead AI projects, design innovative solutions, and mentor junior team members.
- Company: Join Lloyds Banking Group, a leader in ethical AI transformation.
- Benefits: Generous pension, annual bonus, 30 days holiday, and flexible lifestyle benefits.
- Other info: Inclusive culture with a focus on continuous learning and career growth.
- Why this job: Make a real impact with cutting-edge AI technology in a diverse environment.
- Qualifications: Master's or PhD in STEM, extensive AI/ML experience, and strong programming skills.
The predicted salary is between 70000 - 90000 £ per year.
LOCATION: London, Bristol, Leeds, Manchester or Edinburgh
WORKING PATTERN: Hybrid, 40% (or two days) in one of the offices above.
About this opportunity: As a Lead AI Scientist 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.
Role Responsibilities:
- 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.
What you'll need:
- 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.
About working for us:
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.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days' holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Want to do amazing work, that’s interesting and makes a difference to millions of people? Join our journey.
Senior AI Scientist — Responsible AI & Innovation (Hybrid) in Edinburgh employer: Lloyds Banking Group
Lloyds Banking Group is an exceptional employer, offering a dynamic and inclusive work environment where innovation thrives. With a strong commitment to employee growth, you will have the opportunity to lead cutting-edge AI projects while benefiting from a generous pension scheme, flexible benefits, and a culture that prioritises diversity and wellbeing. Join us in London, Bristol, Leeds, Manchester, or Edinburgh, and be part of a team that values ethical AI practices and fosters continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Scientist — Responsible AI & Innovation (Hybrid) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, and any innovative solutions you've developed. This will give you an edge and demonstrate your hands-on experience when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and machine learning questions. Think about how you can relate your past experiences to the role at Lloyds Banking Group, especially around responsible AI and collaboration.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our exciting journey at Lloyds Banking Group.
We think you need these skills to ace Senior AI Scientist — Responsible AI & Innovation (Hybrid) in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Scientist. Highlight your experience with AI systems, machine learning models, and any relevant projects that showcase your skills in a production environment.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about responsible AI and how your background aligns with the values and goals of Lloyds Banking Group. Be genuine and let your personality come through.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python and your experience with AI/ML frameworks. Provide examples of how you've applied these skills in real-world scenarios to solve complex problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially those mentioned in the job description like Generative AI and reinforcement learning. Be ready to discuss your experience with specific frameworks like PyTorch or TensorFlow, as well as any projects you've led that showcase your expertise.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others in the past. Think about times when you’ve worked with product managers, data engineers, or other stakeholders to deliver a project. Highlight your communication skills and how you can convey complex technical information to non-technical team members.
✨Emphasise Ethical AI Practices
Given the focus on responsible AI governance, be prepared to discuss your understanding of AI ethics and bias mitigation techniques. Share any experiences where you’ve implemented ethical considerations in your AI projects, and demonstrate your commitment to developing AI solutions that are not only innovative but also responsible.
✨Continuous Learning is Key
This role requires a passion for continuous learning, so come ready to talk about how you stay updated with emerging tools and techniques in AI. Mention any recent courses, workshops, or proof-of-concept projects you've undertaken to enhance your skills. This shows that you're proactive and dedicated to growing in your field.
