Dwelly is building the AI operating system for residential lettings. Its growing network of agencies provides its AI with real-world data, continuous feedback, and control over complete workflows, making exceptional service the standard for landlords and tenants. Today, Dwelly operates more than 15,000 properties and $470 million in GMV, making it one of the UK’s ten largest lettings operators. The company has raised $263 million.
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.
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.
Задачи
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
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. Pipelines from the platform database, payments, comms, call transcripts and PM jobs
the metrics tree everyone argues from
and an eval harness for the LLM extraction, because a classifier nobody has measured is a rumour
Qualifications and Preferred Background
Strong communication skills and fluency in English
Будет плюсом
have priced or underwritten a financial product — insurance, guarantee, credit — off your own loss data
enjoy being the first analyst in a direction and defining the metrics tree from scratch
and like talking to Managing Directors and agents and learning the domain first-hand, rather than only through the database
Условия
Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success
What is it like being a Dwell-er?
Feel free to check out Dwelly Core Principles . That’s about what we believe in, how we operate and make decisions
What we offer is not a fancy office or a static workplace
Instead, this is solving one of worlds’ most complex problems in the largest consumer industry in the world (residential rentals), to improve the experience for >30% of households (>5M in the UK, and >100M including EU and US) that live in rental homes
This is about disrupting the largest, most antiquated industry in the world, with one of the strongest operational and technical teams that exist in the UK and the EU
We work hard, and we shoot for extremely ambitious results
But we want people to be proud of what they’ve built and be able to look back and say one day “hell yeah, that was me that did it all”
Customer obsession rather than competitive focus
Passion for invention
Operational excellence
Long-term thinking
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Формат работыУдалённо
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greenhouseОсновная публикация · 2026-08-05
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