Senior Machine Learning Scientist

Machine Learning Scientist

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft. For its teams, Adyen creates an environment with opportunities for people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The company is motivated by solving unique technical challenges at scale as a team and delivering innovative and ethical solutions that help businesses achieve their ambitions faster.

Adyen is looking for a Machine Learning Scientist to join the team in Amsterdam, sitting at the cornerstone of algorithms, mathematics, and engineering, and solving problems by designing and implementing production-ready machine learning solutions. You will be responsible for building, developing and deploying algorithms that power data products at Adyen.

We are currently hiring for the following teams:

Insights - Diagnostics: The Insights team is at the core of this platform, providing the world’s largest merchants with the data and analytics they need to optimize their payment performance. Within this, the Proactive Diagnostics initiative acts as a proactive guard for merchant revenue, closing the loop between detecting an anomaly and providing a clear path to rectification. The team operates at the intersection of Big Data and actionable intelligence. By leveraging Adyen’s global payment flow, it applies advanced statistical models and causal inference to not only detect performance drops but to explain the "why" behind them.

Regulatory Reporting Technology:

Adyen's Regulatory Reporting Tech team is seeking a Machine Learning Scientist to join in Amsterdam. You will help further automate and scale Adyen’s global regulatory reporting framework to keep the company compliant across all markets. Together with the team, you will implement key technical solutions to streamline regulatory reporting operations. If you have a strong machine learning background and love solving complex problems, this team offers that opportunity.

In this role, you will:

• Research, design, implement, train, deploy and monitor machine learning algorithms, either for batch prediction or real-time. Examples include on-line learning algorithms to pick the best optimization decision in a changing environment, clustering algorithms to group customers or shoppers, supervised and semi-supervised learning methods for inference on risk patterns or graph analysis, representation learning for behavior prediction and monitoring, Anti-Money Laundering (AML) systems, and real-time anomaly detection based on time-series modeling.
• Develop orchestrated pipelines for analytical purposes and machine learning training.
• Contribute to ongoing automation efforts for experiments, training runs, validation runs and monitoring before, during and after deployment, and collaborate with MLOps to improve machine learning tooling.
• Collaborate closely with product managers and business stakeholders to understand requirements, define problems, and frame them as solvable machine learning tasks.
• Explore and analyze large, complex datasets to identify patterns, insights, and opportunities for ML-driven solutions.
• Define key performance metrics, design rigorous experiments such as A/B tests, and perform statistical analysis to validate model performance and quantify business impact.

Who You Are:

• You have 5+ years of experience as a machine learning or data scientist.
• You have experience with the full machine learning model lifecycle in production flows.
• You have experience leveraging a big data framework to create the pipelines needed to feed models with appropriate data.
• You have a good understanding of software engineering practices as well as data engineering and MLOps principles.
• You have knowledge of data science, statistics and machine learning techniques, including a strong grounding in statistical inference, machine learning for prediction, and causal inference. Deep Learning experience is a plus.
• You have strong familiarity with the standard data science toolkit, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow.
• You have an experimental mindset with a launch fast and iterate mentality. Extensive experience with designing and running experiments is essential.
• You proactively take the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes to a wide range of audiences.
• You stay up-to-date with the latest research and developments in the machine learning field, and apply this where valuable.

This role is based out of Adyen’s Amsterdam office. Adyen is an office-first company and values in-person collaboration; it does not offer remote-only roles.