or apply directly on SumUp's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days SumUp's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 1% of SumUp's roles list one
- Ghost-job risk at SumUp
- low 0 stale, 22 reposted of 409 open
- Hiring momentum
- 564 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from SumUp's own greenhouse board since 2026-08-03. Full hiring picture for SumUp.
About this role
As a Senior Data Scientist/ML Engineer in the Risk AI Engineering Squad, you will develop machine learning systems to enhance transaction monitoring for financial crime detection. Your role involves managing the entire model lifecycle, from feature engineering and model training to deployment and performance monitoring, while collaborating with cross-functional teams to ensure compliance and operational efficiency. This position emphasizes engineering skills alongside data science, requiring a balance of robust software development and analytical capabilities.
- benefits
- 5/5
- freshness
- 4/5
- 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 SumUp as an employer.
What you need
- Strong production Python engineering experience
- Experience deploying and operating ML models in production
- Hands-on experience with end-to-end ML pipelines
- Solid data-engineering fundamentals
- A willingness to deepen your data-science expertise
- Clear, confident communication
Nice to have
- Experience with PySpark or other distributed data-processing technologies
- Experience in AML, fraud detection, transaction monitoring, or another financial-crime domain
- Experience with unsupervised learning, such as anomaly detection or clustering
- Familiarity with feature stores, model registries, and alerting-threshold calibration
- Experience producing ML governance artefacts, such as model cards, validation reports, or audit documentation
What you get
- Opportunity to work with SumUppers globally on large-scale fintech products
- Commitment to Diversity and Inclusion
- Enrolment onto our Virtual Stock Option programme
- A dedicated annual L&D budget of €2,000
- A corporate pension scheme where we match up to 20% of your contributions
- Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days
Worth weighing
- Focus on engineering skills may limit traditional data science opportunities
- Role involves working in a high-stakes environment with a strong emphasis on compliance and governance
Summarised from SumUp's posting. Read the full original.
Listed by SumUp on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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