SumUp
Senior Data Engineer(m/w/x)
Full-timeOn-siteSenior
Berlin
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SUSumUp
Senior Data Scientist(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building ML models for AML transaction monitoring at a global fintech empowering 4M+ small businesses. Unsupervised ML and production-grade workflow experience required. 28 days paid leave plus public holidays, €2,000 annual L&D budget.
Requirements
- Strong Python skills
- Hands-on data engineering experience
- Building reliable, production-grade ML workflows
- Feature engineering experience
- Unsupervised machine learning experience
- Translating domain knowledge into model behaviours
- Translating domain knowledge into alerting logic
- Productionalising ML applications
- Operating end-to-end pipelines
- Pipeline monitoring
- Pipeline versioning
- Pipeline rollback in regulated environments
- Working across complex data ecosystems
- Attention to data quality
- Attention to data lineage
- Attention to data root-cause analysis
- Clear communication skills
- Aligning cross-functional stakeholders
- Setting stakeholder expectations
- Turning ambiguous compliance needs into technical plans
- Willingness to learn and develop career
Tasks
- Build and maintain ML models for AML transaction monitoring
- Improve detection quality and operational efficiency
- Ensure regulatory compliance in 37 markets
- Engineer features for AML typologies and suspicious behaviors
- Collaborate with AML investigators to translate domain knowledge
- Run sensitivity tests on synthetic datasets
- Produce ML governance artifacts and audit-ready documentation
- Own and evolve the AML Risk Score
- Analyze driver contributions and monitor drift
- Run back-testing and recommend improvements
- Partner with AML Operations, Product, and Engineering
- Translate stakeholder needs into scalable data science solutions
- Track and improve detection performance metrics
- Adapt solutions to regional compliance requirements
- Contribute to system design documentation
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ML workflows
Benefits
Competitive Pay
- Virtual stock option program
Learning & Development
- Annual L&D budget of €2,000
Retirement Plans
- Corporate pension scheme with 20% match
More Vacation Days
- 28 days paid leave plus public holidays
- Special leave days
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SumUp and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SUSumUp
Senior Data Scientist(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building ML models for AML transaction monitoring at a global fintech empowering 4M+ small businesses. Unsupervised ML and production-grade workflow experience required. 28 days paid leave plus public holidays, €2,000 annual L&D budget.
Requirements
- Strong Python skills
- Hands-on data engineering experience
- Building reliable, production-grade ML workflows
- Feature engineering experience
- Unsupervised machine learning experience
- Translating domain knowledge into model behaviours
- Translating domain knowledge into alerting logic
- Productionalising ML applications
- Operating end-to-end pipelines
- Pipeline monitoring
- Pipeline versioning
- Pipeline rollback in regulated environments
- Working across complex data ecosystems
- Attention to data quality
- Attention to data lineage
- Attention to data root-cause analysis
- Clear communication skills
- Aligning cross-functional stakeholders
- Setting stakeholder expectations
- Turning ambiguous compliance needs into technical plans
- Willingness to learn and develop career
Tasks
- Build and maintain ML models for AML transaction monitoring
- Improve detection quality and operational efficiency
- Ensure regulatory compliance in 37 markets
- Engineer features for AML typologies and suspicious behaviors
- Collaborate with AML investigators to translate domain knowledge
- Run sensitivity tests on synthetic datasets
- Produce ML governance artifacts and audit-ready documentation
- Own and evolve the AML Risk Score
- Analyze driver contributions and monitor drift
- Run back-testing and recommend improvements
- Partner with AML Operations, Product, and Engineering
- Translate stakeholder needs into scalable data science solutions
- Track and improve detection performance metrics
- Adapt solutions to regional compliance requirements
- Contribute to system design documentation
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ML workflows
Benefits
Competitive Pay
- Virtual stock option program
Learning & Development
- Annual L&D budget of €2,000
Retirement Plans
- Corporate pension scheme with 20% match
More Vacation Days
- 28 days paid leave plus public holidays
- Special leave days
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SumUp and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SumUp
Industry
FinancialServices
Description
The company is a leading global fintech company committed to leveling the playing field for small businesses.
Not a perfect match?
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Full-timeOn-siteSeniorBerlin