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 Portsmouth employer: Harnham
Join a forward-thinking global AI and data platform that prioritises innovation and employee growth. As a Senior Data Scientist, you'll thrive in a fully remote environment that fosters collaboration and creativity, while working on impactful projects in synthetic intelligence. With a strong focus on real-world applications and a commitment to professional development, this company offers a unique opportunity to shape the future of AI alongside a talented team.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - LLMs, Synthetic Data in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with LLMs and synthetic data. A casual chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with NLP and LLMs. Real-world examples of your projects can make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex AI concepts clearly, so practice breaking down your projects for both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are ready to dive into the world of synthetic intelligence. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data Scientist - LLMs, Synthetic Data in Portsmouth
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 engaging and personal!
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, so let that creativity flow!
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 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 LLMs and synthetic data generation. Be prepared to discuss specific projects you've worked on, especially those involving NLP. Highlight how you validated your models and ensured trustworthiness in your outputs.
✨Showcase Your Problem-Solving Skills
This role is all about tackling ambiguous problems, so come ready with examples of challenges you've faced in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your thought process.
✨Communicate Clearly with All Stakeholders
You’ll need to explain complex AI concepts to both technical and non-technical audiences. Practice simplifying your explanations and think about how you can make your insights accessible. This will show that you can bridge the gap between teams effectively.
✨Familiarise Yourself with Their Tech Stack
Since the company uses Python, SQL, and Databricks/Spark, it’s a good idea to brush up on these technologies. If you have experience with them, be ready to discuss how you've used them in past projects, particularly in relation to deploying AI solutions.
