GoCardless

4 months ago

Senior Data Scientist, Fraud Prevention

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

A Senior Data Scientist in the Fraud Prevention team will design, develop, and deploy end-to-end ML solutions on GCP/Vertex AI to detect and prevent merchant fraud, collaborating with engineers, analysts, and product partners to scale models from discovery to live production and monitoring, while driving fintech innovation and a seamless customer experience.

Location: Riga

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Contribute to the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
•Collaborate with product, engineering and data science peers to turn complex data into real-time, mission-critical fraud prevention solutions.
•Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
•Help bring to live the latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

Pay and Benefits

Salary: EUR 64,000 - 96,000 annually

Equity and Bonus:Equity

Perks:EquityMedical CoverRemote WorkPar ParentalTime Off

Key Requirements

•You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
•Track record of deploying predictive models and data products in production with quantifiable impact (experience in Fintech, Fraud Prevention, or Payments is a big plus).
•Ability to translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
•Experience with writing and maintaining code to a production-level standard, supporting the team with code reviews.
•Comfortable contributing across the full model lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.

Experience:FintechFraud preventionPayments

Skills:LeadershipCommunicationProblem-solvingTeamworkStrategic thinking

Languages:English

Tech Stack:PythonGCPVertex AIMLSQL

Company Brief

GoCardless

Provides an online payments platform that enables businesses to collect recurring and one-off payments via bank debit (ACH/Direct Debit) across multiple countries, simplifying billing, reconciliation, and global payment workflows.

Industry: Payments

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: London, United Kingdom

Founded: 2011

Website LinkedIn

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GoCardless

4 months ago

Senior Data Scientist, Fraud Prevention

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Riga

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Contribute to the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
•Collaborate with product, engineering and data science peers to turn complex data into real-time, mission-critical fraud prevention solutions.
•Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
•Help bring to live the latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

Pay and Benefits

Salary: EUR 64,000 - 96,000 annually

Equity and Bonus:Equity

Perks:EquityMedical CoverRemote WorkPar ParentalTime Off

Key Requirements

•You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
•Track record of deploying predictive models and data products in production with quantifiable impact (experience in Fintech, Fraud Prevention, or Payments is a big plus).
•Ability to translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
•Experience with writing and maintaining code to a production-level standard, supporting the team with code reviews.
•Comfortable contributing across the full model lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.

Experience:FintechFraud preventionPayments

Skills:LeadershipCommunicationProblem-solvingTeamworkStrategic thinking

Languages:English

Tech Stack:PythonGCPVertex AIMLSQL

Company Brief

GoCardless

Industry: Payments

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: London, United Kingdom

Founded: 2011

Website LinkedIn