Dwelly

Senior Data Scientist (Growth)

Senior · Удалённо · Английский C1

Не указано: география

Навыки

  • Работа с бэклогом
  • Коммуникация
  • CRM-системы
  • Клиентоориентированность
  • dbt
  • GMV / MRR
  • LLM
Ещё 10
  • Machine Learning
  • Решение задач
  • Python
  • Retention и отток
  • Воронка продаж
  • SLA
  • SQL
  • Статистика
  • Временные ряды
  • Апсейл и кросс-сейл

О компании и продукте

  • 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

Паспорт вакансии

История публикации

Появилась в Вакандии26 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 26 дней назад
Среди похожихНет данных172 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

ГрейдSeniorвычитано из текста вакансии
Формат работыУдалённо
Географияне указана
Зарплата≈ 19 917 USD в месяцнаша оценка, в вакансии не названа

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.

Полнота карточки753 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка

Проверка Вакандии

Источники и свежесть

Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
  • greenhouseОсновная публикация · 2026-08-05

Работодатель

Dwelly

11 активных вакансий · вилка работодателя указана в 0%

Открыть профиль компании

Безопасность

Отклик уходит на сайт источника

Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайтеjob-boards.eu.greenhouse.io.

Признаки мошенничества
  • Просят предоплату, «залог» или деньги за обучение и оборудование.
  • Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
  • Быстро уводят в мессенджер и торопят с решением.
  • Обещают большой доход без опыта и без деталей задач.

Настоящий работодатель не просит денег и платёжных данных до трудоустройства.

Продолжить поиск

Похожие вакансии

Причина сходства указана на каждой карточке