Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise LLM applications that enhance customer experiences and improve content quality.
- Company: Join Holland & Barrett, a trusted brand focused on health and wellness.
- Benefits: Enjoy competitive pay, career growth, discounts, and a supportive work environment.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic team.
- Qualifications: Experience in LLM applications, strong Python skills, and a data science mindset.
- Other info: Flexible hybrid working and a culture that values your wellbeing and development.
The predicted salary is between 36000 - 60000 £ per year.
About Data at Holland & Barrett
Location: Hybrid working - occasional office presence. London or Nuneaton when required.
Holland & Barrett is investing heavily in the next generation of digital and AI capability - not as an experiment, but as a core part of how we help millions of customers live healthier lives. We are now hiring our first LLM Data Scientist to shape how LLMs show up across the business - on our website, in our content, in our recommendations, and in the tools our teams use behind the scenes.
Role
If you are someone who loves the intersection of LLM systems, experimentation, and real world product impact, this is the kind of role where your work won’t stay hidden. You will see it live, in customer facing journeys, SEO performance, personalisation, and in the quality of the content we publish. And to be clear: this is not a role for someone who has only ever engineered prompts in isolation. You will definitely write prompts - but the value here comes from understanding how LLMs behave in real systems, with real data, and knowing how to evaluate, measure, optimise and deploy them at scale. If you have the data science mindset and the LLM engineering skillset, this is where you can genuinely shape things.
What you will actually be doing?
- Designing, testing, and optimising prompts and prompt chains for production LLM applications
- Building evaluation frameworks to measure quality, safety, relevance, latency and cost
- Working with RAG architectures, embeddings and vector databases to improve retrieval and contextual accuracy
- Owning and developing our SEO content optimisation tool - improving product page copy for both relevance and discoverability
- Helping power personalised recommendations and messaging in our Personalisation squad
- Enhancing our Wellness Hub (our library of health articles and expert content) by generating, rewriting and improving pieces in safe, evidence based ways
- Partnering with Data Engineering on context management, memory strategies, tool/function calling, observability and logging
- Monitoring and mitigating model drift, prompt degradation and system regressions
- Acting as a go to LLM expert across the business, helping teams understand what’s possible and what’s not
- Staying close to the evolving LLM landscape and translating new ideas into useful, practical improvements
How we will see your impact
- Customers engage more with product pages because the content is more helpful and tailored
- SEO performance improves thanks to your optimisation tools
- We publish higher quality health content that’s accurate, engaging and aligned with our brand
- Customers receive more relevant recommendations at the right moment
- Internal teams work faster thanks to stronger, more reliable LLM powered tools
- Clear evaluation metrics guide smarter, data driven AI adoption
- LLM capability across H&B grows because you’ve helped demystify the technology
The Person
What you will need
- Hands on experience developing LLM applications beyond just prompt writing
- Solid data science foundations: experimentation, evaluation, statistical thinking, working with real world datasets
- Strong understanding of: prompt optimisation, RAG, embeddings, vector stores, context management and LLM evaluation
- Very strong Python skills - this is a genuinely hands on role
- Ability to reason about trade offs between quality, latency and cost
- Experience with Git, version control and CI/CD
- Confidence translating complex LLM concepts for non technical colleagues
- Curiosity, pragmatism, and comfort shaping a first of its kind role
Benefits
- Technology Incentive Scheme - we offer different bonus schemes for all grades in Technology, starting at 10%.
- Learning and Development opportunity with Holland & Barrett is a great base for career development long term.
- Career progression
- Pension company contribution
- Your wellbeing is paramount so you can get away and take 28 or 33 Days Holiday per year.
- Refer and Earn Scheme - as we’re growing you can earn money by referring people to join us from your network.
- Epic Extras gives you access to exclusive benefits, free advice and savings from a range of retailers and providers.
- Stay healthy with Discounted Products - from day one you’ll get a 25% discount (on top of other promotions) when you shop at H&B on anything that you buy.
- We all need a little help sometimes, so we offer Free 24/7 Confidential Advice & Colleague Welfare.
- Mental Health First Aiders - we have lots of qualified Mental Health First Aiders because it’s all about your health & wellbeing.
- We have colleague Reward and Recognition Schemes, so your hard work and loyalty won’t go unnoticed.
- And many more!
The Company
Holland & Barrett is one of the nation’s most loved and trusted brands, known for offering quality health food, vitamins and supplements all sold by highly trained and qualified advisors. Bucking the current trend of high street retailers, we forecast significant growth and expansion plans in the coming years, with considerable investment going into all areas of the business. We certainly embrace change and drive speed in everything we do. Every day presents a different challenge, but every day is also filled with fun, teamwork and passion to succeed and surpass every expectation. Join us and see how far you can go...
Llm Data Scientist employer: Holland and Barrett
Contact Detail:
Holland and Barrett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Llm Data Scientist
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Holland & Barrett. LinkedIn is a goldmine for this – drop them a message, ask about their experiences, and show genuine interest in what they do.
✨Tip Number 2
Prepare for those interviews like a pro! Research Holland & Barrett’s recent projects and how LLMs are being integrated into their systems. Bring your ideas to the table – they’ll love hearing how you can contribute to their mission.
✨Tip Number 3
Show off your skills in real-time! If you get the chance, demonstrate your understanding of LLM applications during interviews. Maybe even share a mini-project or a case study that highlights your experience with prompt optimisation and data science.
✨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 serious about joining the team at Holland & Barrett.
We think you need these skills to ace Llm Data Scientist
Some tips for your application 🫡
Show Your Passion for LLMs: When you're writing your application, let your enthusiasm for LLM systems shine through! We want to see how you connect your experience with real-world applications and how you can make a difference at Holland & Barrett.
Be Specific About Your Skills: Don’t just list your skills; show us how you've used them in practice. Whether it's prompt optimisation or working with RAG architectures, give us examples that demonstrate your hands-on experience and problem-solving abilities.
Tailor Your Application: Make sure to customise your application for this role. Highlight your understanding of the intersection between data science and LLM engineering, and how you can contribute to our mission of helping customers live healthier lives.
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 this exciting opportunity to shape the future of LLMs at Holland & Barrett!
How to prepare for a job interview at Holland and Barrett
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest developments in LLM technology. Be prepared to discuss how you've applied LLMs in real-world scenarios, not just in theory. This will show your potential employer that you can bring practical insights to the table.
✨Showcase Your Data Science Skills
Brush up on your data science fundamentals, especially around experimentation and evaluation. Be ready to share examples of how you've used statistical thinking and real-world datasets to drive decisions. This will highlight your analytical mindset, which is crucial for the role.
✨Prepare for Technical Questions
Expect questions about prompt optimisation, RAG architectures, and context management. Practise explaining these concepts clearly, as you’ll need to communicate complex ideas to non-technical colleagues. This will demonstrate your ability to bridge the gap between tech and business.
✨Bring Your Curiosity and Pragmatism
Holland & Barrett values curiosity and a practical approach. Think of examples where you've adapted to new challenges or technologies. Showing that you’re proactive and willing to learn will resonate well with the interviewers, especially in a pioneering role like this.