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- Tasks: Lead AI projects, improve NLP techniques, and mentor junior data scientists.
- Company: Join Lloyds Banking Group, a leader in financial services with a focus on innovation.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
- Why this job: Make a real impact in transforming finance while developing your skills in a supportive environment.
- Qualifications: Experience in machine learning, strong communication skills, and proficiency in Python and SQL.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 60000 - 84000 £ per year.
Locations: Bristol
Time Type: Full time
Posted on: Posted Today
End Date: February 10, 2026
Job Requisition ID: 136493
Salary Range: £72,702 - £80,780
Flexible Working Options: Hybrid Working
Job Description Summary:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Bristol office.
About this opportunity:
The Consumer Servicing & Engagement (CS&E) Platform delivers a unified digital servicing proposition for personal customers on the device of their choosing, giving the best digital customer experience to increase engagement and options for self-service. We build deeper and more trusted relationships with our customers and support them to improve their financial lives by offering valuable, engaging and human-like digital banking experiences. We grow customer satisfaction and trust through simple, helpful and personalised experiences that they love.
What you’ll do:
- Own and continually improve upon our current approaches for solving common AI use cases, focused around NLP – blending traditional NLU techniques with GenAI.
- Contribute to the data science chapter and help it address more complex problems that require new approaches to be introduced.
- Deliver proofs-of-concepts that demonstrate these new capabilities and how they can deliver value to future projects.
- Contribute to target production architectures of AI systems.
- Define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc.
- Coach and help develop more junior members of the team, including other data scientists, graduates and apprentices.
Why Lloyds Banking Group:
We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone.
What you’ll need:
- Previous experience as a Data Scientist in machine learning.
- Strong communication skills and the ability to collaborate effectively with other teams.
- A strong ability to translate data science methods and results for non-technical audiences and to persuade senior business stakeholders of the significance of these results for decision making.
- Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused around NLP – blending traditional NLU techniques with GenAI.
- A good working knowledge of the latest NLP and LLM techniques.
- Experience with conversational AI systems and methodologies.
- Understanding of risks and guardrails for Generative AI applications.
- Skills in Python and SQL for data science, including how to write modular code, familiarity with the core Python data structures and fluency with pandas and other packages commonly used for data science.
- A pragmatic, "keep it as simple as possible, but no simpler" attitude to your work and designs.
About working for us:
Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop.
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- 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
At Lloyds Banking Group, we’re driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities.
We’re focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Senior Data Scientist in Bristol employer: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. A friendly chat can give you insider info that could set you apart.
✨Tip Number 2
Prepare for those tricky interview questions! Brush up on your NLP and machine learning knowledge, and be ready to discuss how you've applied these in real-world scenarios. Practice explaining complex concepts in simple terms – it’s key to impressing non-technical stakeholders.
✨Tip Number 3
Show off your problem-solving skills! Be ready to share examples of how you've tackled challenges in previous roles, especially those related to AI and data science. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Lloyds Banking Group.
We think you need these skills to ace Senior Data Scientist in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with NLP and machine learning, and don’t forget to showcase your ability to communicate complex ideas simply. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your skills align with our mission at StudySmarter. Be genuine and let your personality come through – we love that!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a proof-of-concept or a personal project, we want to see how you've applied your skills in real-world scenarios. This helps us understand your hands-on experience.
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’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be good to go!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of Natural Language Processing (NLP) and Generative AI techniques. Be ready to discuss how you've applied these in previous roles, especially in solving complex problems. Prepare examples that showcase your ability to blend traditional NLU techniques with GenAI.
✨Showcase Your Communication Skills
Since the role requires translating data science methods for non-technical audiences, practice explaining your past projects in simple terms. Think about how you can persuade stakeholders of the significance of your results. A mock interview with a friend could help you refine this skill.
✨Demonstrate Your Coaching Ability
As a senior data scientist, you'll be expected to coach junior team members. Prepare to discuss your mentoring experiences and how you've helped others grow. Share specific examples of how you've guided less experienced colleagues in using Python and SQL effectively.
✨Be Ready for Technical Questions
Expect questions on statistical modelling, machine learning techniques, and coding challenges in Python and SQL. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common data science interview questions can give you an edge.
