Data Scientist

Job description

We're looking for a graduate data scientist to help build and exploit a digital twin of every block of flats in the UK — a single, structured, continuously updated model of the buildings we insure and the ones we might.

You'll do two things. First, help build the data foundation: bringing together public and commercial datasets and resolving them to individual buildings. Second — and increasingly over time — use that data to understand the true risk of each building and turn it into pricing, risk selection and insight we give back to clients.

Initially, this is a three month role with the potential to become full time.

This is a rare chance to own foundational work from day one at an early-stage company, with real scope to shape both the data and the models built on it.

What you'll do

• Help build and maintain the digital twin — ingesting, cleaning, matching and enriching building-level data from multiple sources.
• Work with UK datasets including Ordnance Survey (e.g. AddressBase, building footprints), Land Registry, EPC records, planning data, flood and other peril data, and commercial sources.
• Solve entity resolution — reliably matching records across datasets to the right physical building and address.
• Analyse and model risk at building level — identifying the features that actually drive claims and turning them into signals for pricing and underwriting.
• Build, test and validate models, and clearly communicate what they do and don't tell us.
• Work with large databases and keep them accurate and performant as they grow.
• Help define what "good" looks like — data quality, coverage, model performance — and build the checks to enforce it.

Why join

• Real ownership — you'll shape a core company asset and the models built on it, not maintain someone else's legacy system.
• Equity — share in what we're building.
• Direct impact — your work shapes how we price risk and what we tell clients.
• Learn fast — work directly with the founder and a small, senior team.

What we are looking for

Essential

• A degree in a quantitative subject (e.g. data science, statistics, maths, physics, engineering, computer science, economics, geography/GIS) — or equivalent demonstrable skill.
• Strong analytical and statistical reasoning, and sound judgement about data.
• Programming ability, ideally Python; comfortable with SQL and large datasets.
• Genuine interest in working with messy real-world data and making it reliable and useful.
• Clear thinker who can break down ambiguous problems and take ownership.

Nice to have

• Experience building statistical or machine-learning models on real data.
• Hands-on experience with Ordnance Survey data or other UK public datasets.
• Geospatial / GIS experience (e.g. PostGIS, QGIS, working with coordinates and footprints).
• Any exposure to property, insurance, actuarial work, or the built environment.

You don't need to tick every box. If you're a sharp graduate who loves data and wants to build something foundational, we want to hear from you.

Accepted degree subjects

Any

Additional job details

How to apply

Click Apply to start your application now. This job will be available on Prospects until 20 July 2026

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Closing date:  Continuous recruitment