GoCardless

Senior Data Scientist, Payment Intelligence

GoCardless · Lisbon, Portugal

Posted about 3 months ago

or apply directly on GoCardless's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
GoCardless's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of GoCardless's roles list one
Ghost-job risk at GoCardless
high
22 stale, 2 reposted of 22 open
Hiring momentum
42 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from GoCardless's own greenhouse board since 2026-08-03. Full hiring picture for GoCardless.

About this role

As a Senior Data Scientist in the Payment Intelligence team at GoCardless, you will lead the development of machine learning models aimed at enhancing payment success and preventing fraud. Your role involves collaborating with engineers and product managers to transform complex data into actionable solutions, overseeing the entire model lifecycle from concept to deployment. You will also engage in knowledge sharing and technical leadership within the team, driving innovation in payment technologies.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of GoCardless as an employer.

What you need

  • Degree (or PhD) in a STEM discipline or equivalent commercial experience
  • Hands-on experience with sophisticated architectures such as deep learning or graph-based models
  • Ability to translate complex ML concepts into practical product solutions
  • Experience in owning the full lifecycle of model development, including analysis, feature engineering, prototyping, validation, and A/B testing
  • Proficiency in writing clean, high-quality code and sharing knowledge with the team

Nice to have

  • Experience in Fintech, Fraud Prevention, or Payments

What you get

  • Dedicated support and medical cover
  • Work away scheme for up to 90 days in any 12 month period
  • Flexible working arrangements
  • Parental leave
  • Annual learning budget
  • Generous holiday allowance, plus volunteer and wellness days

Worth weighing

  • Base salary range is indicative and flexible, with compensation based on experience and performance assessment
  • The role involves a significant level of ownership and responsibility, which may be challenging for some candidates

Summarised from GoCardless's posting. Read the full original.

Listed by GoCardless on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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