ACI Worldwide powers the global payments ecosystem. The Data Scientist will develop, deploy, and monitor statistical and machine learning models to detect and prevent financial crime across high-volume payments data, while contributing to broader AI applications, engineering practices, and stakeholder collaboration.
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
Collaborate across a global team of data scientists, engineers and subject-matter experts spanning multiple time zones and markets
Apply rigorous statistical methods to ensure models are robust, explainable and fit for a regulated financial environment
Contribute to the team’s engineering practices, including code quality, version control, testing and reproducibility of experiments
Stay current with advances in machine learning, deep learning and financial crime typologies, bringing new techniques into the team
Qualification
Required
Bachelor's degree in a relevant discipline such as Statistics, Mathematics, Computer Science, Data Science, Physics, Engineering or another quantitative field
Statistics – strong foundation in statistical theory and methods (hypothesis testing, probability, regression, experimental design) and their application to real-world data
Python – strong hands-on proficiency, including standard data science libraries (pandas, NumPy, scikit-learn)
PyTorch – practical experience building and training neural network models
Communication – excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences
Machine learning fundamentals – solid understanding of supervised and unsupervised learning, and model evaluation and validation techniques
Data wrangling – comfort working with large, messy, real-world datasets, including SQL for data extraction and manipulation
Analytical mindset – a curious, rigorous approach to problem-solving, with sound commercial and risk judgement
Collaboration – proven ability to work effectively in cross-functional, geographically distributed teams
Applicants must be currently authorized to work in Ireland on a full-time basis
This position does not offer sponsorship for employment visa status or work permit now or in the future
Preferred
This role is well suited to a postgraduate student or recent graduate looking to apply their research skills in an applied, industry setting
CUDA / GPU computing – experience accelerating model training using CUDA is favorable, though not essential
Benefit
Hybrid work arrangement
Opportunities for growth
Career development
ACI Worldwide is a software company that delivers payments software solutions.
