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 real-world applications.
- 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 Hull 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 you the chance 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 Hull
✨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 Hull
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with LLMs, NLP, and any relevant projects that showcase your skills in synthetic data generation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about working on real-world LLM products. Share specific examples of how you've tackled complex behavioural data problems in the past.
Showcase Your Problem-Solving Skills:In your application, emphasise your ability to solve ambiguous problems. We want to see how you approach challenges and communicate complex AI concepts to different audiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Synthetic Intelligence 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 dive deep into technical discussions during the interview. Review key statistical methodologies and validation techniques relevant to synthetic data generation. Practising how to explain complex AI concepts in simple terms will help you communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss ambiguous problems you've tackled in the past. Think of examples where you had to work autonomously and how you approached these challenges. Highlighting your problem-solving process will demonstrate your ability to thrive in a dynamic environment.
✨Engage with the Team's Vision
Research the company’s goals in the synthetic intelligence space and be ready to share your thoughts on their direction. Showing genuine interest in their mission and how you can contribute will set you apart as a candidate who is not only qualified but also passionate about the role.
