Data Scientist

Powering the world’s payments ecosystem

ACI powers the payments ecosystem – globally, and you power ACI.  You’ll innovate, collaborate, and grow – in an energetic technology culture with decades of proven success.  ACIers – in all roles and levels – are truly your colleagues and many are your friends. Our size and reach allow you to see the global impact of your work. You are visible, your talents are valued, and you are empowered to shape the future of payments.

As a Data Scientist in Limerick, Ireland you will join a diverse, passionate team, dedicated to powering the world’s payments ecosystem!

The purpose of the Data Scientist is:

We are hiring a Data Scientist to join a modern, full-stack data science function at the heart of our fintech and payments business. This team owns the complete lifecycle of its models — from problem framing and data engineering through to model development, deployment and monitoring in production — with a direct mandate to strengthen how we detect and prevent financial crime across a global payments network.

This is a genuinely exciting opportunity for a postgraduate-level data scientist to apply advanced statistical and machine learning methods to high-volume, real-world payments data, working alongside colleagues across multiple regions on problems that carry real financial and regulatory weight. You will work with a modern technology stack, including GPU-accelerated deep learning, and will be encouraged to bring research-driven thinking into a production engineering environment.

A typical day at ACI for a Data Scientist is:

• Design and build statistical and machine learning models to detect, predict and prevent financial crime, fraud and anomalous payment behaviour, alongside broader AI applications across payments such as intelligent payment routing and foundation model development for payments intelligence. 

• Contribute to the full data science lifecycle — data exploration, feature engineering, model development, validation, deployment and ongoing monitoring — within a full-stack data science team.

• Develop deep learning solutions using PyTorch, leveraging GPU/CUDA acceleration where appropriate to train and optimise models at scale.

• Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders, including risk, compliance and product teams.