At a Glance
- Tasks: Build and maintain a digital twin of UK buildings, analysing data to assess risk.
- Company: Exciting early-stage company focused on innovative data solutions.
- Benefits: Equity options, direct impact on projects, and fast learning opportunities.
- Other info: Initial three-month role with potential for full-time position.
- Why this job: Shape core company assets and influence pricing strategies from day one.
- Qualifications: Graduate in data science or related field with analytical skills.
The predicted salary is between 28000 - 35000 £ per year.
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.
Address Base, 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.
Data Scientist in London employer: Storeys
Join a pioneering early-stage company where you will have the unique opportunity to take ownership of foundational work in building a digital twin for every block of flats in the UK. With a strong emphasis on employee growth, you'll work closely with a small, senior team and the founder, gaining invaluable insights while directly impacting how we price risk and serve our clients. Enjoy the benefits of equity in the company and a collaborative work culture that prioritises innovation and learning.
