Data Scientist | Python | Machine Learning | SQL | Large Language Models | Hybrid, London

Data Scientist | Python | Machine Learning | SQL | Large Language Models | Hybrid, London

Our Mission

We’re on a mission to help blue-collar parts businesses grow and scale. These are the companies that keep the world running — powering the food we eat, the cars we drive, and the buildings we live in.

Historically, these businesses have been overlooked by the tech world , relying on outdated systems that make it hard to use their data effectively. Their information is often fragmented, unstructured, and inaccessible — meaning they can’t make the data-driven decisions that fuel modern growth.

With the rise of Large Language Models (LLMs) , it’s now possible to bring this data together and make it understandable and actionable for non-technical users. Our team is leveraging these breakthroughs to empower every blue-collar business to grow with data.

We’re VC-backed by leading investors with a track record of supporting some of the world’s most successful startups.

The Role

We’re hiring a Research Data Scientist to join us at an exciting early stage. You’ll play a pivotal role in turning messy, real-world industry data into AI-driven insights and intelligent products .

Our customers operate in industries that have been underserved by modern software for decades. Their data is fragmented, incomplete, and complex — you’ll bring scientific rigor, creativity, and experimentation to make sense of it, test hypotheses, and build models that deliver measurable business impact.

This is a blend of data exploration, applied ML, and LLM experimentation. You’ll design and run experiments, validate ideas with real-world data, and collaborate closely with engineers to turn research into production-ready systems.

Key challenges you’ll help tackle:

• Transform large, messy datasets from legacy systems into structured, usable formats
• Design, run, and evaluate experiments using rigorous statistical methods
• Prototype ML models for forecasting, optimization, and recommendation across sales, inventory, and operations
• Explore and fine-tune LLMs for practical use cases within industry workflows
• Partner with engineers to take research from proof-of-concept to scalable production systems
• Build a culture of experimentation — documenting results, sharing learnings, and influencing product direction through data

You’ll work alongside experienced engineers and founders who are passionate about the intersection of AI, data, and real-world impact. This is your chance to shape the foundation of an AI platform for underserved industries — from raw data to tangible outcomes.

About You

• You see data as the engine for innovation — using it to uncover insights that drive business value
• You bring a scientific mindset (Bachelor’s/Master’s/PhD in a quantitative discipline) with strong experimental and statistical reasoning
• 2+ years of hands-on experience in data science, ML engineering, or applied research
• Skilled at designing and evaluating experiments with proper baselines, controls, and metrics
• Excited to explore and apply LLMs in practical, business-focused contexts
• Thrive in a fast-moving, iterative environment where research rapidly turns into real-world applications
• No domain expertise required — curiosity and adaptability are key

Technical skillset:

• Must-have: Python, data science/ML libraries (pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face), experiment design, evaluation metrics
• Nice-to-have: LLM fine-tuning, prompt engineering, SQL/PostgreSQL

How We Work

• We live for our customers — aiming to be the most reliable, highest-ROI product they’ve ever used
• We move fast and stay focused on real-world results
• We tie every tech metric directly to user impact
• We’re open, collaborative, and challenge ideas — not people
• We take ownership — “that’s not my job” isn’t in our vocabulary
• We’re bold — transforming how an entire industry works isn’t easy, but we’re here for it
• We care deeply about our team and your growth — this should be the most enjoyable and impactful chapter of your career

Data Scientist | Python | Machine Learning | SQL | Large Language Models | Hybrid, London