Research Data Scientist (up to £130k)

Overview

They are building an AI operating system for industries that modern software has ignored for decades, where data is fragmented, incomplete, and complex. Expect real‑world impact, not just another consumer app. The founding team consists of seasoned AI researchers backed by leading VCs.

You will join a small, high‑calibre team, working directly with the founders. This is an applied science role where you will 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.

Responsibilities

• 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.

Qualifications

• A Master’s or PhD in a quantitative science (e.g., ML, Physics, Neuroscience, Maths) or a strong scientific background with self‑taught ML.
• 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 (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.

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