Data Scientist (Computer Vision)

About Daon

Daon is a global leader with over 25 years of experience in digital identity fraud prevention, specializing in protection against AI-generated synthetic identities. Partnering with governments and major enterprises worldwide, Daon delivers secure identity solutions across sectors such as financial services, telecommunications, healthcare, travel, and critical infrastructure. The TrustX platform supports scalable, cross-channel identity workflows including verification, biometric authentication, and lifecycle management, securing over two billion identities globally. Daon’s expertise has been recognized by Gartner®, KuppingerCole, and Frost & Sullivan®.

Role Overview

Based in Dublin, Ireland, this hybrid role involves three days on-site work and two days remote work. Reporting to the Principal Research Scientist, you will contribute to advancing biometric technologies focusing on face liveness, matching, and anti-fraud methods.

Key Responsibilities

• Design and develop algorithms for identity document analysis and authentication, aiding digital onboarding and fraud prevention.
• Create solutions to authenticate identity documents, detect tampering, and prevent document-related fraud.
• Utilize foundation models, traditional machine learning, image processing, and computer vision suited to deployment environments to develop document processing algorithms.
• Prototype novel concepts and evolve them into production-quality systems.
• Collaborate with engineering, product, and support teams to integrate algorithms into production and oversee ongoing enhancements.
• Develop components suitable for cloud, server, and mobile platforms.
• Test and fine-tune identity document processing and analysis technologies.
• Apply expertise in document validation, capture, computer vision, and image processing fields.

Qualifications & Experience

• Strong enthusiasm for applying machine learning and computer vision to practical problems related to documents and identities.
• Proven experience creating and assessing advanced machine learning and computer vision algorithms.
• Solid foundation in traditional machine learning and computer vision; experience with document processing is advantageous.
• Proficiency with contemporary deep learning frameworks and foundation models.
• Experience in low-resource environments, transfer learning, and unsupervised or lightly supervised learning methods.
• Advanced Python skills for research and development; C++ knowledge is beneficial.
• Familiarity with image processing libraries and toolkits.
• Experience leveraging AI-powered tools to accelerate computer vision research and development.
• Prior commercial experience with document capture and validation is a plus.
• Skills in data curation, annotation, and generating synthetic training datasets.
• Quick learner with solid mathematical skills.
• Strong interpersonal skills and ability to effectively collaborate within an international team.

Educational Background

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or related fields.

Personal Attributes

• Excellent analytical and problem-solving capabilities.
• Ability to work autonomously as well as collaboratively.
• Strong attention to detail.
• Fluent in written and spoken English.

Benefits

• Opportunity to work with cutting-edge biometric identity, document analysis, and fraud detection technology.
• Competitive pay and benefits package.
• Flexible work arrangements supporting a healthy work-life balance.

Location and Work Arrangements

This position is based in Dublin, requiring candidates to reside in Ireland at time of application. The role offers a hybrid working model with three days in-office and two days remote work per week.

Diversity and Inclusion

Daon is committed to equal employment opportunity and an inclusive workplace environment. The company encourages applications from diverse backgrounds and strives to create a respectful, supportive atmosphere where all employees feel valued regardless of race, religion, gender identity, or other protected statuses.