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Dwelly is building an AI operating system for residential lettings across the UK and Europe. The company operates 15,000+ properties with $470M GMV and has raised $263M from top-tier investors. You will be the first dedicated data scientist in the newly launched Growth function, owning the analytical agenda alongside commercial and product leadership.
This is a thought-partner role where you bring hypotheses, challenge priorities, and build analyses that drive decisions—not a service seat. You'll work with an exceptional data asset: years of conversations with landlords and tenants, complete property management records, payment histories, and call recordings. With LLMs, this unstructured data becomes a competitive moat no other UK proptech company can replicate.
Key responsibilities include: (1) Churn early-warning that identifies root causes (e.g., service failures vs. property sales) and quantifies retention value; (2) Share-of-wallet expansion by estimating landlords' off-platform portfolios and mining call data for product insights; (3) Pricing elasticity analysis across acquired agencies to optimize fee structures and rent review prioritization; (4) Rent Guarantee underwriting using proprietary loss data to price and monitor risk; (5) Growth experimentation design with proper holdout groups, power analysis, and uplift estimation; (6) Ownership of the Growth data layer—pipelines from platform, payments, comms, transcripts, and job records, plus metrics definitions and LLM eval harnesses.
You'll need 5+ years as a data analyst or scientist with full-stack capability: Python, SQL, dbt-style pipeline building. Statistical depth is essential—experiment design, causal inference (diff-in-diff, matching, synthetic control), survival analysis, elasticity estimation. You apply pragmatic ML (logistic regression in production over notebook models), work fluently with LLMs on messy text and audio, and build eval sets to validate output quality. You're autonomous, resilient, and thrive in fast-paced startups. Higher education required. Fluent English essential.
