SumUp
AI

Data Scientist

SumUp · Berlin, BE, DE

Actively hiring Posted 3 months ago

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

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.

Tags & focus areas

Used for matching and alerts on DevFound
Ai Machine Learning Data Science
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.