At a Glance
- Tasks: Build and deploy LLM-based synthetic data systems to solve complex behavioural data problems.
- Company: Global AI and data platform focused on research and consumer intelligence.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and collaboration.
- Why this job: Shape the future of synthetic intelligence and make a real impact in AI deployment.
- Qualifications: Experience in NLP or LLM products and strong problem-solving skills.
The predicted salary is between 98000 - 98000 £ per year.
Do you want to work on real-world LLM products solving complex behavioural data problems? Have you worked on NLP or LLM products where validation and trust actually mattered? Are you ready to help shape the future of synthetic intelligence within a globally scaled AI platform?
A global AI and data platform operating in the research and consumer intelligence space is hiring a Senior Data Scientist to join a newly formed Synthetic Intelligence team. The business is investing heavily into Generative AI and building next-generation systems that augment real human data using LLMs, NLP, and behavioural modelling techniques. This is a highly applied role focused on production delivery, experimentation, and real-world AI deployment rather than pure research.
You'll work closely with Product and Engineering teams to design and deploy synthetic data systems capable of generating high-quality survey responses, behavioural predictions, and audience insights at scale. The role would suit someone who enjoys solving ambiguous problems, working autonomously, and communicating complex AI concepts clearly to both technical and non-technical stakeholders.
Key Responsibilities:- Build and deploy LLM-based synthetic data generation systems
- Design validation methodologies and statistical experiments
- Develop NLP workflows for open-text generation and augmentation
- Work closely with Engineering on production deployment pipelines
- Contribute to profiling, behavioural modelling, and audience systems
- Present methodologies and findings to stakeholders and clients
- Help shape the roadmap of a growing synthetic intelligence platform
- Salary: up to £98k / €113k
- Fully remote working
- UK preferred, EU also considered
- Tech stack: Python, SQL, NLP, LLMs, RAG, Databricks/Spark
- Sponsorship: not currently offered
Interested? Please apply below.
Senior Data Scientist - LLMs, Synthetic Data in Stoke-on-Trent employer: Harnham
Join a forward-thinking global AI and data platform that prioritises innovation and employee growth. As a Senior Data Scientist, you'll be part of a dynamic team dedicated to solving complex behavioural data challenges while enjoying the flexibility of fully remote work. With a strong emphasis on collaboration, experimentation, and real-world impact, this role offers a unique opportunity to shape the future of synthetic intelligence in a supportive and engaging work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - LLMs, Synthetic Data in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with LLMs and synthetic data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to NLP and LLMs. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex AI concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist - LLMs, Synthetic Data in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLMs and NLP. We want to see how you've tackled real-world problems, so don’t hold back on those specific projects that showcase your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our mission at StudySmarter. Keep it conversational but professional.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've solved ambiguous problems in the past. We love candidates who can think outside the box and communicate complex ideas clearly to different audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss specific projects you've worked on, especially those involving NLP and synthetic data. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, SQL, and statistical methodologies. Practise explaining your thought process clearly, as you'll need to communicate complex ideas to both technical and non-technical stakeholders. Consider doing mock interviews to get comfortable with articulating your expertise.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled ambiguous problems in the past. Think of examples where you had to design validation methodologies or develop NLP workflows. Highlight your ability to work autonomously and how you approach challenges creatively.
✨Engage with the Team's Vision
Research the company’s goals in synthetic intelligence and be ready to share your thoughts on how you can contribute. Show enthusiasm for their mission and be prepared to discuss how your skills align with their roadmap. This will demonstrate your genuine interest in the role and the company.
