Data Scientist at SurePay

Utrecht, Utrecht, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Statistical Analysis, Model Evaluation, Anomaly Detection, Model Interpretability, Backend Development, Fraud Detection, Exploratory Data Analysis, Prototyping, CI/CD Practices, Generative AI, Ethical ML Practices, Team Collaboration, Agile Methodologies

Industry

Financial Services

Description

Data Scientist | SurePay | Freelance/Contract Location: Hybrid from Utrecht | FinTech SaaS | Fraud & AML Discovery Team Help us stop fraud before it starts. At SurePay, we’ve processed over 10 billion IBAN-Name Checks keeping payments secure and fraud-free for over 200 banks and 300+ corporates across Europe. Now, we’re building a new generation of fraud and anti-money laundering (AML) products, and we’re looking for a hands-on Data Scientist to join our Discovery team. This is a high-impact, early-stage role. You’ll dive into real-world financial data, shape product ideas, and build working prototypes that lay the foundation for production-ready models. If you're excited by ambiguous challenges, curious about fraud detection, and want to apply your skills in a meaningful way, this might be the role for you. The opportunity As a Data Scientist at SurePay, you'll work at the intersection of statistics, machine learning, software engineering, and experimentation. You’ll join a small, sharp team building proof-of-concepts that test fraud signals, model behaviors, and anomaly detection techniques all with real-world data and a clear product vision. This isn’t a purely research-focused role. It’s exploratory, fast-paced, and practical. You’ll take ownership from idea to prototype. Designing models, validating them, and making sure they’re solving the right problems in the right way. What you’ll do Explore large financial datasets to uncover patterns, edge cases, and insights Build quick-turnaround ML prototypes to validate hypotheses and identify signal quality Select the right algorithms based on the problem (supervised, unsupervised, anomaly detection, etc.) Fine-tune models with awareness of overfitting, false positives, and interpretability Work closely with product and ML engineering to turn POCs into scalable systems Help define how we measure success for fraud detection (e.g., recall vs. precision, AUC, business cost) Champion model explainability and ethical ML practices Contribute ideas, structure, and rigor to an early-stage product team What we’re looking for You’re a Data Scientist who loves solving messy problems and working across the full stack of data science. You bring structure to chaos, prototype quickly, and care about solving real-world problems not just building cool models. Must-haves 3–5 years of experience in Data Science roles, ideally within fraud, security, or high-noise domains Strong statistical and analytical skills. You should be able to reason clearly about data and model performance Proficient in Python and key ML libraries (e.g., pandas, scikit-learn, PyTorch, MLflow) Experience designing, tuning, and evaluating machine learning models Knowledge of data pipelines, basic backend development, and infrastructure awareness Comfortable with ambiguity, iteration, and early-stage product work Familiarity with model interpretability tools and techniques Bonus points Experience in AML, fraud prevention, or transaction monitoring Exposure to systems like FCRM, NICE Actimize, RiskShield, or Pega CI/CD practices applied to ML systems interest in generative AI and prompt engineering Why join now? This isn’t just another model or dashboard. You’ll help us design the foundations of a new AML product with real-world stakes. You’ll work closely with smart engineers, learn from real customer data, and push the boundaries of what’s possible in fraud detection. If you want to grow your skills, have real impact, and build something from day one…we’d love to hear from you. Apply now or reach out to chat. About SurePay Founded in 2016 ± 120 employees ±30 nationalities 1 office Flat organisation and no hierarchy (Business) Casual SurePay makes payments easier, more personal and even more secure. We are a fast-growing FinTech SaaS company and have secured our Series A funding in September 2021. SurePay stems from an innovation program of Rabobank, started in July 2016 and has been an independent BV since the beginning of 2020. SurePay is being backed by three leading investors, Rabo Frontier Ventures, Connected Capital and Iris Capital. As we continue to evolve and grow, we're working hard to scale further in Europe while continuing to build our talented and driven team. Currently, we're working according to agile methodologies with 5 scrum teams and a business team made up of various disciplines. You might know us from our leading product, the IBAN-Name Check, also known internationally as Confirmation of Payee. It's used by millions of people on a daily basis and is incorporated into payment platforms of banks, corporates and governmental bodies throughout the Netherlands and the UK. We recently also connected to France, meaning we have started providing cross-border checks. We are planning to continue expanding within Europe, bringing our mission of preventing fraud and misdirected payments. Not only are we entering new markets, but also growing our services and product offering through continuous innovation. SurePay's core values are; We Care, Build Together, Think Forward and Be Responsible. These core values are the driver's of our culture and can be seen as guidelines on our beliefs and behaviour. It defines what we find important as a company and the way we work together everyday. We Care: We are a supportive employer and understand that health, family and safety is what really matters. We care about our employees, customers, partners and end-users. Therefore we value creating a safe workspace where everybody can be their authentic self and where we, together, work on the same mission to provide safer payments. Build Together: We believe in teamwork and strive towards the best results together with employees and customers. Our diversity, both personal and professional, is one of our key strengths. Think Forward: We are frontrunners and are on top of our game. Our customers can rely on innovative solutions to service their current and future needs. With a problem solving mindset, we anticipate challenges and adapt to a fast changing environment. Be Responsible: We all contribute to reaching our mission of reducing fraud and misdirected payments, leading to a positive impact on society. We take responsibility, show ownership and make honest decisions. More information More information? careers@surepay.nl

Responsibilities

As a Data Scientist, you will explore large financial datasets to uncover patterns and build machine learning prototypes to validate hypotheses. You will work closely with product and engineering teams to turn proof-of-concepts into scalable systems.