Lead Data Scientist

Monzoreferrals · Cardifflead

En corto

▸Liderazgo técnico en ciencia de datos para impulsar el crecimiento y la experiencia del usuario en un banco digital de crecimiento acelerado.
▸Diseño y ejecución de experimentos, estandarización de prácticas de datos y mentoría a equipos multidisciplinarios.
▸Destaca la cultura de toma de decisiones basada en datos en tiempo real con herramientas como Looker.

Required for collaboration with international teams and documentation.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Experiencia comprobada liderando proyectos de ciencia de datos en entornos ágiles.
✓Capacidad para diseñar y gestionar experimentos A/B y métricas de éxito.
✓Forte habilidad para mentorizar y desarrollar a otros científicos de datos.
✓Comprensión estratégica del impacto de los datos en productos comerciales.
✓Conocimiento profundo de métricas, análisis de datos y diseño de experimentos.
✓Capacidad de trabajo colaborativo con equipos de producto, ingeniería y diseño.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

LookerPythonSQLAzureBigQueryGitAirflowDockerAWSJupyter

¿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 or Barcelona | UK remote | 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data About our Data Science Teams: We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 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: • Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day • Develop and execute best practices for experimentation enabling our team to make data informed decisions • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. • Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: • You enjoy working with cross functional fast moving teams • You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers • You are excited about mentoring other data scientists and analytics engineers • You are excited by experimentation and utilising new data techniques to solve challenging problems • You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features • You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Our interview process involves: • Recruiter Call • Initial Call • Technical assessment • Final Interviews • Business Fit/Collaboration • Case Study • Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to sp

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