You will bridge the gap between statistical inference and large language models to turn complex human language into reliable, quantifiable insights. Working directly with the CTO, you will design experiments and prototype algorithms that move beyond off-the-shelf tools to create a statistically rigorous foundation for analyzing large-scale audience data.
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Applied Scientist at Deep-tech AI data platform
Are you tired of glorified word clouds and unreliable AI summaries? This well-funded deep-tech startup is looking for an Applied Scientist to build a statistically rigorous platform that turns messy human responses into trustworthy insights. You'll work at the frontier of statistical inference and LLMs, designing original algorithms that go far beyond off-the-shelf RAG tools. As an early hire, you will shape the methodology and culture of a company already serving major universities and private equity groups. If you want to solve hard problems involving AI reproducibility and auditability while moving from prototype to production, this is your chance to make a massive impact.
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Location
Remote
Compensation
£70k-£85k
Company
Confidential company
Role overview
About the company
Deep-tech AI data platform
What you will do
- Design and prototype Python pipelines that integrate statistical frameworks with machine learning and large language models.
- Collaborate directly with the founders and enterprise clients to ensure analytical rigor and scalability in real-world deployments.
- Explore and implement methods for AI reproducibility and auditability to protect against hallucinations and ensure consistent quality.
Who this is a fit for
- Possesses a strong academic or professional background in statistical inference, machine learning, NLP, and experimental design.
- Demonstrates experience pushing methodological boundaries to turn theoretical insights into well-designed, production-ready software pipelines.
- Thrives in early-stage environments and is motivated by the challenge of making unstructured human data trustworthy and impactful.
Why this role is remarkable
- Invent and validate novel methodologies at the frontier of NLP and statistical inference rather than just implementing standard RAG patterns.
- Join an early-stage team backed by a specialist AI fund and prestigious deep-tech grants, moving from prototype to production scale.
- Solve a high-impact, meaningful problem by making messy human data transparent, reproducible, and actionable for global enterprise clients.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.