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 to enhance payment success and prevent fraud. Your role involves collaborating with engineers and product managers, overseeing the entire lifecycle of algorithms from concept to production. You will also focus on integrating the latest advancements in machine learning to drive innovation within the company.
- 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 like deep learning, graph-based, or sequence-based models
- Ability to translate complex ML concepts into practical product solutions
- Experience 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
- Wellbeing support and medical cover
- Work away scheme for up to 90 days
- Adaptive Working for flexible schedules
- Parental leave
- Annual learning budget
- Generous holiday allowance, plus volunteer and wellness days
Worth weighing
- Base salary range provided, but compensation is based on performance assessment and experience
- The role requires a proactive approach to problem-solving and ownership of projects
- The stack includes Google Cloud Platform and Vertex AI, which may involve a learning curve if unfamiliar
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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