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 Milton Keynes 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, 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 while enjoying a supportive work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - LLMs, Synthetic Data in Milton Keynes
✨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 complex problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain your methodologies clearly, as you'll need to communicate complex AI concepts to various stakeholders.
✨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 Milton Keynes
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 large language models (LLMs) and their applications in synthetic data generation. Be ready to discuss specific projects you've worked on, especially those involving NLP, and how you validated the results. This will show your depth of understanding and practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of ambiguous problems you've tackled in the past, particularly in AI or data science. Highlight your approach to solving these issues and the impact of your solutions. This will demonstrate your ability to work autonomously and think critically, which is key for this role.
✨Communicate Clearly with All Stakeholders
Practice explaining complex AI concepts in simple terms. You might be asked to present your methodologies or findings, so being able to communicate effectively with both technical and non-technical audiences is crucial. Consider doing mock presentations to refine your delivery.
✨Familiarise Yourself with the Tech Stack
Get comfortable with the tools mentioned in the job description, like Python, SQL, and Databricks/Spark. If you have experience with these technologies, be prepared to discuss how you've used them in previous roles. Showing that you're technically savvy will give you an edge in the interview.
