Dex
Research Data Scientist (up to £130k)
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This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested sign up to Dex to apply.
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
The role
Most AI companies chase the same shiny problems. This one doesn't. They're building an AI operating system for industries modern software has ignored for decades, where data is fragmented, incomplete, and complex. Think real-world impact, not just another consumer app. They're backed by leading VCs, and their founding team are seasoned AI researchers.
You'll join a small, high-calibre team, working directly with the founders. This isn't a pure research role; it's applied science. You'll take messy, real-world data from legacy systems and transform it into AI-driven products, from forecasting to optimisation. Expect deep data exploration, rigorous experimentation with LLMs, and models that actually ship. This isn't about academic papers; it's about building production-ready AI that delivers tangible business value.
Reasons to use Rodeo
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
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Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The work
- Wrangle large, fragmented datasets from legacy systems, transforming raw data into usable features for AI models.
- Design and execute rigorous experiments, establishing proper baselines and statistical evaluation for new models and features.
- Build, deploy, and iterate on applied ML models for forecasting, optimisation, and recommendation across core business functions like sales and inventory.
- Explore and apply cutting-edge LLM techniques, from fine-tuning to prompt engineering, to unlock new product capabilities.
- Collaborate directly with engineering to productionise research, ensuring models are robust, scalable, and trustworthy.
What You Bring
- A Master's or PhD in a quantitative science (e.g., ML, Physics, Neuroscience, Maths). A strong scientific background with self-taught ML is welcome.
- 4+ years of hands-on experience in data science, ML engineering, or applied research (or 2+ years post-PhD).
- Proven ability to design and execute statistically rigorous experiments, including proper baselines and controls.
- Expertise in Python and core DS/ML libraries (e.g., pandas, scikit-learn, PyTorch, Hugging Face), with a deep understanding of evaluation metrics.
- A genuine drive to apply and experiment with LLMs in practical, business-focused product contexts.
Get help with your application
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Why apply through Dex
This is a rare, high-impact role at a company that isn't widely known yet. Applying through Dex means you skip the cold application process and get a full, unbiased brief on the company and role before you even interview. We help you cut through the noise and connect directly with opportunities that truly fit.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/3397a929-c4da-4ea4-87e5-aa956da4bc90
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