Data Scientist – Face Biometrics

About the role

Join Daon's European research team to advance cutting‑edge face biometric technologies. You will collaborate with research and engineering colleagues to deliver high‑impact authentication and anti‑fraud solutions.

Key responsibilities

• Develop machine‑learning algorithms for face authentication and liveness detection.
• Research, prototype, and evaluate presentation‑attack detection and fraud‑prevention methods.
• Test and configure face algorithms to meet performance and accuracy standards.
• Extend and utilise existing biometric code libraries.
• Run rigorous experiments, interpret results and translate outcomes into deployable models and policies.

Required profile

• Hands‑on experience in at least two of the listed areas (computer vision, data methods, image matching, anti‑spoofing).
• Proven track record through project delivery, research contributions, or a minimum of two years of relevant employment.
• Bachelor’s, Master’s or PhD in Computer Science, Electrical Engineering, Mathematics or a related field (preferred).

Required skills

• Python and/or C++ programming.
• Deep‑learning frameworks such as PyTorch or TensorFlow.
• Version control (Git), testing and debugging.
• Computer‑vision and image‑recognition pipelines.
• Large‑scale data handling and preprocessing.
• Metric learning, feature extraction, alignment and embedding techniques.
• Presentation‑attack detection and anti‑spoofing research.

What we offer

• Opportunity to work in the fast‑growing field of identity verification and biometrics.
• Competitive compensation and benefits.
• Flexible hybrid working environment supporting work‑life balance.
• Collaboration with an established team of researchers and scientists.