Senior Data Scientist – Growth

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Lead the analytical strategy for the Growth initiative in collaboration with commercial and product leaders.

• Develop churn prediction models that pinpoint underlying causes, assess their financial implications, and guide retention or sales strategies.

• Analyze landlords' unreported portfolios, prioritize expansion prospects, and review call recordings to uncover product opportunities.

• Reconstruct pricing structures, assess elasticity by segment, recommend justifiable fee increases, and prioritize rent reviews based on anticipated value.

• Create Rent Guarantee underwriting models utilizing arrears and collections loss data, incorporating default probabilities, severity, eligibility criteria, and monitoring methods.

• Design growth experiments for tenant offerings, payment processes, upsell strategies, and outreach sequences using control groups, power analyses, and uplift evaluations.

• Manage the Growth data infrastructure, encompassing pipelines from platform databases, payments, communications, call transcripts, and property management tasks.

• Establish the shared metrics framework and create an evaluation harness for LLM extraction.

• Serve as a strategic partner to business and product leadership, formulate independent perspectives, challenge priorities, and deliver analyses that facilitate decision-making.

⛳️ Requirements

• Excellent communication skills and proficiency in English.

• Advanced degree in a relevant field.

• Startup mindset characterized by resilience, adaptability, and the capacity to excel in a fast-paced environment.

• Customer-focused approach aimed at providing value to end-users or clients.

• Strong analytical problem-solving abilities and capability to suggest actionable solutions.

• Over 5 years of experience in a Data Analyst / Data Scientist role.

• High degree of autonomy and a comprehensive skill set expected from a Senior Data Analyst.

• Proficient in Python and SQL, with the ability to create pipelines using dbt or similar tools.

• Extensive statistical expertise in experimental design, causal inference without randomization, difference-in-differences, matching, synthetic control, survival analysis, and elasticity.

• Practical machine learning experience including churn prediction, uplift modeling, pricing strategies, and straightforward forecasting.

• Familiarity with LLMs applied to unstructured text and audio, including the development of evaluation datasets.

• Capability to interpret backend code and independently retrieve unprocessed data.

• Ability to collaborate with business and product teams, establish independent viewpoints, and provide constructive feedback.

• Preferred: experience in pricing or underwriting financial products such as insurance, guarantees, or credit using loss data.

• Preferred: experience in creating a metrics framework from the ground up and collaborating directly with Managing Directors and agents.

🏝️ Benefits

• Competitive salary.

• Potential for equity options based on performance.

• Opportunity to tackle a complex challenge in residential rentals.

• Chance to shape the Growth agenda and metrics from the ground up.

• Opportunity to work alongside experienced founders and a proficient operational and technical team.

• Opportunity to engage with ambitious, high-impact products that serve rental households.