Senior Data Scientist – Growth

🕒 il y a 16 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

📊 Data Scientist

👻 Score fantôme 14%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Dwelly

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2023

💼 Conseil

📦 Logistique

🏨 Hôtellerie

💰 Seed en 2024-05

Consulting • Logistics • Hospitality

Dwelly est une plateforme spécialisée dans les acquisitions et la planification de succession pour les agences de location indépendantes au Royaume-Uni. Elle propose des évaluations gratuites, des offres monétaires compétitives et des accords de sortie sur mesure tout en préservant l'image de marque des agences et la relation avec les clients. Dwelly mène un processus de diligence raisonnable transparent et collaboratif et utilise la technologie et l'IA pour moderniser les opérations après l'acquisition, permettant ainsi aux propriétaires de quitter l'entreprise de manière fluide et rentable.

Description

• Own the analytical agenda for the Growth direction in partnership with commercial and product leads • Build churn early-warning models that identify causes, estimate their financial impact, and inform retention or sales actions • Estimate landlords' hidden portfolios, rank expansion opportunities, and analyze call recordings to identify product opportunities • Reconstruct pricing, estimate elasticity by segment, recommend defensible fee increases, and prioritize rent reviews by expected value • Build Rent Guarantee underwriting models using arrears and collections loss data, including probability of default, severity, eligibility rules, and monitoring • Design growth experiments for tenant products, payment flows, upsell paths, and outreach sequences using holdouts, power calculations, and uplift estimates • Own the Growth data layer, including pipelines from platform databases, payments, communications, call transcripts, and property-management jobs • Define the shared metrics tree and build an evaluation harness for LLM extraction • Act as a thought partner to business and product leadership, form independent views, challenge priorities, and deliver decision-enabling analysis

🎯 Exigences

• Strong communication skills and fluency in English • Higher degree education • Startup mentality, resilience, adaptability, and ability to thrive in a fast-paced environment • Customer-centric mindset focused on delivering value to end-users or clients • Strong logical problem-solving skills and ability to propose practical solutions • 5+ years of experience in a DA / DS role • High autonomy and a full-stack analyst skill set expected of a Senior DA grade • Proficiency in Python and SQL, with ability to build pipelines using dbt or equivalent • Strong statistical depth in experiment design, causal inference without randomisation, diff-in-diff, matching, synthetic control, survival analysis, and elasticity • Pragmatic ML experience including churn propensity, uplift, pricing, and simple forecasting • Fluency with LLMs applied to messy text and audio, including building evaluation sets • Ability to read backend code and independently fetch unprepared data • Ability to partner with business and product teams, form independent views, and push back constructively • Nice to have: experience pricing or underwriting a financial product such as insurance, guarantees, or credit using loss data • Nice to have: experience defining a metrics tree from scratch and working directly with Managing Directors and agents

🏖️ Avantages

• Competitive salary • Potential for equity options based on performance • Opportunity to work on a complex problem in residential rentals • Opportunity to define the Growth agenda and metrics from scratch • Opportunity to work with experienced founders and a strong operational and technical team • Opportunity to work on ambitious, high-impact products serving rental households