Senior Data Scientist

Monzoreferrals · Cardiffsenior

En corto

▸Científico de datos senior enfocado en crecimiento y experiencia de usuario en una banca digital en crecimiento.
▸Trabajo diario: análisis cuantitativo, experimentos A/B y colaboración con equipos multifuncionales para impulsar decisiones basadas en datos.
▸Destacado: 80% del crecimiento proviene de referidos, lo que pone al centro del modelo de negocio el análisis de impacto del crecimiento orgánico.

Buen nivel de inglés (requisito para comunicación y colaboración global)

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¿Qué piden?

✓Experiencia comprobada como Científico de Datos en entornos de crecimiento rápido
✓Habilidades avanzadas en análisis cuantitativo y minería de datos
✓Capacidad para diseñar e implementar A/B tests y análisis de impacto
✓Experiencia colaborando con ingenieros para mejorar la recolección de datos
✓Habilidad para comunicar insights complejos a equipos no técnicos
✓Enfoque orientado al impacto y compromiso con productos que generan valor para los usuarios

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LookerPythonSQLA/B TestingData PipelinesAnalyticsUser Behavior AnalysisLifetime Value (LTV)Product AnalyticsReal-time Analytics

¿A quién escribirle en Monzoreferrals?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

📍London | UK remote | 💰 £80,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Hear from the team About our Data Science Team: We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! What you’ll be working on We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc. Your day-to-day • Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy • Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do • Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability • Liaise with engineers to keep making sure we collect the right data to produce relevant business insights You should apply if: What we’re doing here at Monzo excites you! • You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well <li style

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