Senior Data Scientist New Barcelona

Monzo
Madrid, Spain
about 2 months ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Data Mining Data Presentation Python (Programming Language) SQL Databases

Job description

About the roleMonzo is seeking a Senior Product Data Scientist excited to help build the bank of the future.The role focuses on supercharging user engagement and creating a product customers truly love.Responsibilities- 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.Qualifications- 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.- Solid grounding in SQL and preferably Python.- Experience conducting large?scale A/B experiments.Benefits- Competitive base salary based on experience and incentive awards tied to performance.- Hybrid workplace: 3 days a week in office, flexible working hours.- Learning budget of €1,200 per year for books, training and conferences.Equal OpportunitiesMonzo is an equal?opportunity employer.All applicants will be considered for employment without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status.#J-*****-Ljbffr

Requirements

Liaise with engineering teams to ensure accurate data collection that supports relevant business insights.Qualifications- 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.
  • Solid grounding in SQL and preferably Python.

Benefits & conditions

Experience conducting large?scale A/B experiments.Benefits- Competitive base salary based on experience and incentive awards tied to performance.

  • Hybrid workplace: 3 days a week in office, flexible working hours.
  • Learning budget of €1,200 per year for books, training and conferences.Equal OpportunitiesMonzo is an equal?opportunity employer. All applicants will be considered for employment without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status. #J-*****-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

9:45 min

Evaluating charting libraries for exploratory analysis and presentation

Johanna Schmidt · LIVE

1:04 min

Scaling data infrastructure for a rapidly growing fintech platform

Max Fischer Max Fischer +1 · World Congress 2026 Europe

4:25 min

Analyzing web accessibility data at scale

Karl Groves Karl Groves · LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

Videos

See all

Related articles

See all