Senior Data Scientist (Growth Job Edinburgh area,Scotland UK,Business

Position: Senior Data Scientist (Growth)

About Dwelly

Dwelly — a UK-based, AI-enabled lettings and property management platform, that is growing through a roll-up strategy acquiring estate agencies. The company leverages two arms: i) acquiring existing letting agencies, effectively buying its highly sticky, recurring revenue-type landlords portfolios, and then ii) building a top-notch technology to automate tenant management, payments, and post-rental property maintenance. The company seamlessly integrates AI services to automate all business processes within brick-and-mortar real estate agencies, integrating them into a tech-enabled digital letting platform in two months to radically improve the user experiences and increase efficiency of the business.

We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations.

Position Summary

We are launching Growth as a dedicated direction — everything that moves units on the platform and revenue per unit. You will be the first data person in it, owning the analytical agenda together with the commercial and product leads rather than servicing a queue of chart requests. A thought-partner role: bring hypotheses, argue about priorities, say when a plan won’t work, then build the thing that settles it.

A note on the title. We have always asked our analysts for statistics, real programming, data pipelines and modest ML — we just never wrote it down. We are now naming the job the way the market names it. If “Data Scientist” means a research seat with a clean feature store handed to you, this isn’t that. If it means going from raw messy data to a decision without waiting for anyone, it is exactly that.

A normal estate agency knows almost nothing about its own business: a CRM with names, a bank feed, and the memory of whoever has worked there longest. We are in a different position. Across a portfolio of agencies we hold years of conversations with landlords and tenants, every property management job with the full record of what went wrong, every payment and arrear, and thousands of hours of calls.

Most of it is unstructured, which until recently meant unusable. With LLMs it is a feature store — and that changes the class of question we can answer. No agency on the island can do this, and few proptech companies can.

Key Responsibilities

Churn Early-Warning Churn early-warning that names the cause, not just the risk. Combine arrears, job SLA breaches and tenancy events with intent and sentiment extracted from conversations and call recordings. Separate the landlord who is selling the flat from the one we lost through a botched boiler repair — different playbooks, one goes to retention, the other straight into the sales funnel — and put a pound figure on each cause so operations can prioritise honestly.

Share-of-Wallet Expansion Turn share of wallet from a survey anecdote into a ranked call list. Landlords hold roughly 60 properties off-platform for every 100 they place with us. Estimate each landlord’s hidden portfolio, rank by expected units won, then mine the resulting call recordings for why they said no — that is usually where the next product comes from.

Pricing & Elasticity Find the price sensitivity of the landlord base. Our acquired agencies charge wildly different fees. Reconstruct what is actually charged, estimate elasticity by segment, recommend the maximum defensible uplift — then hold yourself to your own churn forecast and correct the model. The same machinery prioritises the rent review backlog by expected pounds.

Rent Guarantee Underwriting Underwrite Rent Guarantee off our own loss book. Probability of default and severity from our arrears and collections history, real pricing, eligibility rules, and monitoring that flags a deteriorating book early. We own the loss data, which is why we can build this and a broker can’t.

Growth Experimentation Make growth experiments actually readable. Tenant-side products, opt-in payment flows, upsell paths and outreach sequences — designed with holdouts, power and an uplift estimate, not a before-and-after chart.

Growth Data Layer Own the Growth data layer.…