Job Description:
Latest job information from Storeys for the position of Data Scientist. If the Data Scientist vacancy in London matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Storeys for the position of Data Scientist below matches your qualifications.
Were 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.
Youll 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 youll 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 dont 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 — youll shape a core company asset and the models built on it, not maintain someone elses legacy system.
- Equity — share in what were 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.
Job Info:
- Company: Storeys
- Position: Data Scientist
- Work Location: London
- Country: GB
How to Submit an Application:
After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Scientist at the office London above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
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