Senior Product Data Scientist — Drive Engagement & Growth

Monzo

Barcelona

Híbrido

EUR 60.000 - 95.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Hybrid workplace
Learning budget €1,200 per year
Competitive base salary

Descripción de la vacante

Monzo is seeking a Senior Product Data Scientist to help build the bank of the future by supercharging user engagement and creating a product customers truly love. The role focuses on quantitative analysis, data mining, and presenting insights to inform product strategy.

You will guide product teams to measure metrics, run AB tests, and collaborate with finance and engineering to understand LTV and ensure robust data collection.

Formación

  • Impact driven with a genuine desire to positively influence the company, product, and users.
  • Commercially minded, able to translate numbers into business perspective.
  • A balanced mix of hands-on work and strategic thinking.
  • Self-starter who proactively identifies issues and opportunities without being prompted.
  • Team player trusted by colleagues.
  • Experience conducting large-scale A/B experiments.

Responsabilidades

  • Apply expertise in quantitative analysis, data mining, and data presentation to understand how users interact with products and derive insights that inform product strategy.
  • Guide and enable product teams to measure key metrics, initiate or run A/B experiments to continuously improve product outcomes.
  • Collaborate with finance to build a unified company-wide understanding of user lifetime value and how product features impact profitability.
  • Liaise with engineering teams to ensure accurate data collection that supports relevant business insights.

Conocimientos

SQL
Python
A/B testing
Data analysis
Data mining
Data visualization

Descripción del empleo

Monzo is seeking a Senior Product Data Scientist to help build the bank of the future by supercharging user engagement and creating a product customers truly love. The role focuses on quantitative analysis, data mining, and presenting insights to inform product strategy.

You will guide product teams to measure metrics, run AB tests, and collaborate with finance and engineering to understand LTV and ensure robust data collection.

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