Data Scientist (Face Biometrics)

Daon, Inc.; Dublin; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Competitive compensation & benefits

Flexible working environment

Opportunity to work in a growing field

Job summary

Daon, Inc. in Dublin seeks a skilled researcher to join their team focusing on biometric solutions. This role involves developing advanced machine learning algorithms and researching anti-fraud methods to improve face authentication solutions.

Ideal candidates will have experience in computer vision, familiarity with deep learning frameworks, and a minimum of two years in relevant employment. Daon offers a flexible hybrid work environment and competitive compensation.

Qualifications

• Hands-on experience in computer vision, deep learning, or related fields.
• A proven track record through project delivery or relevant employment.
• Exposure to presentation attack detection challenges.

Responsibilities

• Developing machine learning algorithms for face authentication solutions.
• Researching methods for presentation attack detection and fraud prevention.
• Testing and configuring face algorithms for performance standards.

Skills

Computer Vision & Deep Learning

Data & Experimental Methods

Image Recognition & Matching

Liveness & Anti-Spoofing

Programming in Python and/or C++

Education

Bachelors, Masters, or PhD in Computer Science, Electrical Engineering, Mathematics, or related field

Tools

PyTorch

TensorFlow

Deep learning frameworks

Job description

Location

Dublin – Candidates must be resident in Ireland at the time of application.

Work Arrangement

Hybrid – three days office attendance, two days remote.

Reporting to

Principal Research Scientist.

About Daon

Daon is a global leader in digital identity fraud prevention and protection against AI-generated synthetic identities. For over 25 years, we have partnered with governments and leading enterprises to deliver secure, seamless identity experiences across financial services, telecommunications, healthcare, travel, and critical infrastructure.

Our TrustX platform enables organizations to orchestrate secure, scalable, cross-channel identity workflows — supporting identity verification, biometric authentication, and lifecycle management across complex environments. More than two billion identities worldwide have been safeguarded by Daon technology. Recognized as a leading provider by Gartner, KuppingerCole, and Frost – Sullivan, Daon is shaping the future of identity security.

Daon has been providing fraud‑prevention solutions to organizations across six continents for over two decades. Come play a part in advancing the next generation of face liveness, matching, and anti‑fraud biometric technologies.

Role Overview

As part of a collaborative team of research and data scientists based in Europe, you will play a meaningful role in advancing Daon's biometric solutions. Working closely with research and engineering colleagues, your primary focus will be on improving and developing new biometric technologies that are delivered on time and aligned with our strategic objectives. You will report directly to the Principal Research Scientist.

What You'll Do

Working with the latest face biometric technologies, your responsibilities will include:

• Developing machine learning algorithms for face authentication solutions
• Researching, prototyping, and evaluating presentation attack detection and fraud prevention methods
• Testing and configuring face algorithms to meet performance and accuracy standards
• Extending and utilising existing biometric code libraries
• Running rigorous experiments, interpreting findings, and translating outcomes into deployable models and policies
• Helping to innovate and develop solutions to emerging face biometrics challenges
• Applying and continuously growing your expertise in AI, machine learning, and computer vision

What You Have

Hands on experience in at least two of the areas listed below.

A proven track record through project delivery, research contributions, or a minimum of two years of relevant employment experience.

Computer Vision & Deep Learning

• Strong grounding in computer vision and machine learning principles
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow
• Solid understanding of detection, recognition, and classical CV pipelines
• Strong programming skills in Python and/or C++, including version control, testing, and debugging

Data & Experimental Methods

• Experience handling, preprocessing, and analysing large-scale datasets
• Familiarity with synthetic data generation or weakly/lightly supervised learning approaches

Image Recognition & Matching

• Experience with authentication, identity matching, or metric learning
• Knowledge of feature extraction, alignment, and embedding‑based systems

Liveness & Anti‑Spoofing

• Exposure to presentation attack detection, including replay, mask, or deepfake scenarios
• Interest or experience in adversarial robustness and anti‑spoofing research

Nice to Have

• Ability to review, interpret, and implement state‑of‑the‑art research
• Comfortable using AI tools to accelerate workflow and productivity
• Awareness of privacy, ethics, and security considerations in biometrics
• Strong written and verbal communication skills in English

Education

Bachelors, Masters, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field is preferred.

What We Offer

• An opportunity to work in the growing world of identity verification and authentication, biometrics, telephony, and fraud
• The chance to be part of an established & successful team of researchers and scientists
• Competitive compensation & benefits
• Flexible working environment to create a very balanced work/life schedule for you and your family

Equal Opportunity

Daon is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. We celebrate diversity and are dedicated to creating an environment where all employees feel valued, respected, and supported.