Senior Data Scientist (Growth)

8 hours, 11 minutes ago
Full-time
Senior
Data Science and Analytics
Dwelly

Dwelly

Dwelly is a London-based startup that specializes in acquiring and modernizing independent real estate letting agencies across the UK. Founded by former executives from Uber and Gett, the company operates as a full-stack B2B platform for lettings and property management. Since its incorporation in August 2023, Dwelly has acquired 10 agencies and raised £69 million in funding to support its expansion efforts. The company offers an AI-powered operating system designed to enhance the efficiency of lettings agencies. This system automates various processes, including tenant communications, background checks, and maintenance management. Dwelly aims to improve the tenant experience and landlord economics by significantly reducing tenant placement times and generating multiple validated offers quickly. With a goal of managing 50,000 properties and employing over 1,500 people by the end of 2026, Dwelly is positioned among the UK's top letting agencies, managing over 10,000 properties and generating substantial gross rent.

information technology & services
51-200
Founded 2023
$49M raised

Description

  • Build the Growth analytical agenda with commercial and product leads, prioritizing the highest-value business questions.
  • Develop churn early-warning models that identify the cause of churn using arrears, SLA breaches, tenancy events, and conversation sentiment.
  • Estimate landlords’ hidden portfolios and create ranked call lists for share-of-wallet expansion.
  • Reconstruct pricing, estimate elasticity by segment, and recommend defensible fee uplifts and rent review priorities.
  • Underwrite rent guarantee products using the company’s own loss data, arrears history, and collections signals.
  • Design and measure growth experiments for tenant products, payment flows, upsells, and outreach sequences.
  • Own the Growth data layer, including pipelines from core databases, payments, communications, call transcripts, and PM jobs.
  • Build the metrics tree and evaluation harness for LLM-based extraction and classification.
  • Work as a thought partner to business and product teams, challenging assumptions and validating plans with data.

Requirements

  • 5+ years of experience in DA or DS roles.
  • Higher degree education.
  • Strong communication skills and fluency in English.
  • Startup mentality with resilience, adaptability, and comfort in a fast-paced environment.
  • Customer-centric mindset with strong problem-solving skills.
  • High autonomy and a full-stack analyst skill set expected of a Senior DA.
  • Strong Python and SQL skills, with the ability to build pipelines using dbt or equivalent.
  • Deep statistical knowledge, including experiment design, causal inference, survival analysis, and elasticity.
  • Pragmatic ML experience with churn, uplift, pricing, and forecasting models.
  • Fluency with LLMs for messy text and audio, including building evaluation sets.
  • Comfort reading backend code and fetching data independently when needed.
  • Experience pricing or underwriting a financial product such as insurance, guarantee, or credit off loss data (nice to have).
  • Enjoyment of defining metrics from scratch as the first analyst in a direction (nice to have).
  • Willingness to speak with Managing Directors and agents to learn the domain firsthand (nice to have).

Benefits

  • Competitive salary.
  • Potential for equity options based on performance.
  • Opportunity to join a fast-growing, well-capitalized company backed by top-tier investors.
  • Remote or office setup not specified; role offers the chance to shape a new Growth function from scratch.
  • Work on a high-impact problem in a large, under-digitized rental market.

Interested in this position?

Apply directly on the company website

Apply Now

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