Data Science Manager

Monzoreferrals · Cardifflead

En corto

▸Liderazgo de un equipo de científicos de datos en Monzo, enfocado en impacto en productos y decisiones estratégicas.
▸Trabajo diario: liderar talento, guiar proyectos con rigor analítico y colaborar con producto e ingeniería.
▸Destacado: 90% de decisiones diarias se basan en análisis autoservicio (Looker), dejando a los científicos de datos para problemas de alto impacto.

Proficiency in English required for day-to-day work.

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.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓Liderazgo de equipos de científicos de datos o profesionales de datos.
✓Experiencia en modelado estadístico, inferencia causal y experimentación.
✓Capacidad para traducir problemas complejos en oportunidades accionables.
✓Colaboración estrecha con equipos de producto, ingeniería y líderes senior.
✓Habilidades de comunicación y influencia con stakeholders de alto nivel.
✓Enfoque en resultados medibles para clientes, productos y negocio.

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

LookerStatistical ModellingCausal InferenceExperimentationMachine LearningAnalytics EngineeringProductEngineeringData ScienceData-Driven Decision Making

¿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 UK remote | 💰 £100,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data ⭐ About Data at Monzo Data is at the heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these areas, combining people leadership with strategic data leadership and close partnership with senior stakeholders. 🔑 You'll play a key role by... You’ll work closely with Product, Engineering and senior leaders to ensure data plays a central role in how we understand problems, make decisions and develop our products. You'll lead and develop a team of talented Data Scientists, helping them do their best work while setting a high bar for analytical quality and impact. You'll provide strategic direction across complex problems, help teams identify where Data Science can have the greatest impact, and ensure insights translate into meaningful decisions and product changes. We have a strong culture of data-driven decision making across Monzo. We're big believers in powerful, accessible analytics and empowering teams across the business to answer questions themselves. Around 90% of our day-to-day data-driven decisions are supported by self-serve analytics through Looker, giving our Data teams the space to focus on higher-impact problems. Your day-to-day • Lead, develop and grow a team of exceptional Data Scientists and other Data professionals. • Hire, coach and retain talented people while creating an environment where they can develop and do their best work. • Set the Data Science direction for your area and identify where data can have the greatest customer and business impact. • Partner with Product, Engineering and senior stakeholders to shape strategy and influence product direction. • Bring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities. • Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning. • Help connect Data Science work to measurable customer, product and commercial outcomes. • Work with Analytics Engineering, Machine Learn

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.