SumUp

Senior Data Scientist

SumUp

Berlin, Berlin, Germany
Full-Time

Posted 1 hour ago • Via www.arbeitnow.com

Description

Job Overview

  • Role: Senior Data Scientist
  • Company: SumUp
  • Location: Berlin, Berlin, Germany
  • Employment Type: Full-Time
  • Category / Department: Various
  • Salary: Competitive / Not Disclosed โ€” confirm during interview
  • Listing Source: Arbeitnow

Job Description

Team description

The AI AML Engineering Squad sits at the intersection of machine learning and financial crime prevention, building the data products and ML systems that keep SumUp's transaction monitoring effective and compliant across 37 markets. This role carries genuine ownership: you'll be responsible for the models, pipelines, and risk scoring that determine whether suspicious activity is caught, escalated, and documented in a way that satisfies regulators. If you're motivated by technical depth, real-world impact, and the challenge of making ML work reliably in a high-stakes environment, this is built for you.

What you'll do

  • Build, maintain, and improve ML models and batch training pipelines for AML transaction monitoring, focusing on detection quality, operational efficiency, and regulatory compliance
  • Engineer Feature Store features mapped to AML typologies and suspicious behaviours, working closely with AML investigators to translate domain knowledge into alerting logic and threshold calibration
  • Run sensitivity tests on synthetic datasets, produce ML governance artefacts such as model cards, and deliver audit-ready documentation to meet regulatory expectations
  • Own and evolve the AML Risk Score by analysing driver contributions, monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds
  • Partner with AML Operations, Product, and Engineering to translate stakeholder needs into actionable, scalable data science solutions
  • Track and improve detection performance metrics, adapt solutions to regional compliance requirements, and contribute to system design documentation

You'll be great for this role if

  • Strong Python skills with hands-on data engineering experience and a proven track record of building reliable, production-grade ML workflows
  • Experience in feature engineering and unsupervised machine learning, with the ability to translate domain knowledge into model behaviours and alerting logic
  • Proven ability to productionalise ML applications and operate end-to-end pipelines, including monitoring, versioning, and rollback in regulated environments
  • Comfort working across complex, multi-source data ecosystems where data quality, lineage, and root-cause analysis require careful attention
  • Clear communication skills with the ability to align cross-functional stakeholders, set expectations, and turn ambiguous compliance needs into a concrete technical plan

Why you should join SumUp

  • ๐ŸŒŽ Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
  • ๐ŸŒˆ Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
  • ๐Ÿš€ Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success
  • ๐Ÿ“š A dedicated annual L&D budget of โ‚ฌ2,000 for your individual development, which can be used to attend conferences and/or advance your career through further education
  • ๐Ÿ’ถ A corporate pension scheme where we match up to 20% of your contributions
  • ๐Ÿ–๏ธ Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days
  • ๐Ÿ’ช Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, and subsidised office lunches
  • ๐ŸŒด Break4me: 1-month sabbatical after 3 years of service
  • ๐Ÿ”— Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team

About SumUp

Be empowered to do more that matters.

At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships.

Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify.

SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok.

Job Application Tip

We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don't tick every box, it's ok too because it means you have room to learn and develop your career at SumUp.

Find Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

  • Annual or performance-based bonuses
  • Health, dental, and vision insurance
  • Provident Fund (PF) and Gratuity contributions (India)
  • Paid Time Off (PTO), sick leave, and public holidays
  • Professional development budget and learning allowances
  • Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
  • Flexible or remote working allowances
  • Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

  1. Resume and application screening
  2. Introductory phone or video call with HR
  3. Role-specific skill or competency interview
  4. Final interview with the hiring manager or panel
  5. Reference checks and offer discussion

Tip: Research the company's products, culture, and recent news thoroughly before each interview round.

About the Employer

SumUp is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

  • Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
  • Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
  • Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes โ€” these often come up in interviews and signal company health.
  • Location and offices: The role is based in or around Berlin, Berlin, Germany. Confirm office address, remote policy details, and travel requirements during the process.
  • Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the Senior Data Scientist position, follow these steps:

  1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
  2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
  3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
  4. Prepare for phone screening: Be ready for an initial call within 3โ€“7 business days of applying. Have your resume and a quiet space ready.
  5. Follow up professionally: If you haven't heard back in 7โ€“10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.

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