Data Scientist

Description

Job Overview

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

Job Description

About the team:

Within Global Operations, our mission is to deliver the best customer experience in the fintech industry by providing an effortless, high-quality experience for every merchant. We are looking for a skilled and passionate Data Scientist to join our AI Team, contributing to the development of customer-facing models and the evaluation of our AI products. Your work will help elevate our customer support by improving quality, identifying gaps, and tailoring the experience to merchants' needs.

As a Data Scientist at SumUp, you will design, test, and implement both traditional machine learning and AI models, while also assessing the effectiveness of our AI products. You will have a direct impact on company performance by developing and scaling evaluation methods that measure service quality across agents and AI assistants, identify opportunities for improvement, and ensure we deliver the right support experience for each merchant segment.

You will collaborate closely with cross-functional partners — including analysts, ML engineers, data scientists, and product managers — to translate business needs into measurable, production-ready ML solutions. Your contributions will help shape the future of our customer support experience and enable SumUp to grow sustainably with a strong customer-first focus.

What you'll do

• Build and improve LLM-based evaluation models (LLM-as-a-Judge) to assess the quality, safety, and effectiveness of AI products (e.g., AI assistant outputs, agent copilots, support automation).
• Help design and implement automated QA and evaluation pipelines that enable continuous monitoring and benchmarking of AI product performance at scale.
• Contribute to end-to-end model development, from problem framing and data exploration to deployment and monitoring, with guidance and support from the team.
• Own the forecasting models and work with WFM to improve the accuracy.
• Develop and maintain data pipelines that combine product signals, customer support interactions, and feedback loops to support reliable evaluations and insights.
• Support the creation of qualitative and quantitative observability frameworks, including rubrics, evaluation criteria, labeling strategies, and error categories to understand model performance and failure modes.
• Produce actionable insights from evaluation outputs to identify gaps and improvement opportunities, and communicate recommendations to product and operations stakeholders.
• Build and iterate on ML models (AI or traditional) that improve support efficiency, such as prediction models for routing, deflection, resolution likelihood, or quality scoring.
• Collaborate closely with data scientists, analysts, ML engineers, and product managers to deliver measurable improvements to customer support experiences.
• Learn and share best practices across the data and AI community at SumUp, contributing to a culture of continuous improvement.

You'll be great for this position if you have:

• 3+ years of experience applying data science to real-world products, ideally in AI systems, customer support, quality measurement, or evaluation frameworks.
• Solid understanding of machine learning and statistics, including experimentation and metric design.
• Experience working with LLMs or NLP systems, and interest in evaluation methods (e.g., rubric-based scoring, prompt-based judges, calibration approaches, or human-in-the-loop evaluation).
• Strong ability to write clean, reliable code in Python (pandas, numpy, scikit-learn) and strong working knowledge of SQL.
• Experience building or contributing to data workflows and pipelines, and familiarity with taking models into production environments.
• Confidence communicating results and insights to both technical and non-technical stakeholders, with a strong focus on practical business impact.
• A proactive mindset and willingness to take ownership of tasks while collaborating closely with the team in a fast-paced setting.

Why you should join SumUp:

• 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.
• 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
• A dedicated annual L&D budget for attending conferences and/or advancing your career through further education.
• A corporate pension scheme where we match up to 20% of your contributions
• Enjoy the unique opportunity to take a well-deserved break with our 30-day sabbatical benefit after completing 3 years of employment with SumUp.
• Earn additional rewards by referring talented individuals to join the SumUp team

About us:

SumUp is a leading financial technology company, founded in 2012 with the goal of empowering small businesses around the globe. We're the financial partner of choice for more than 4 million merchants in over 35 markets. We collectively build, plan and fine-tune the technology that drives SumUp and empowers small businesses around the world.

We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realise their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their business. With a

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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 — 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 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 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 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.