At OneSpan, we specialize in digital identity and anti-fraud solutions that create exceptional and secure experiences.Here Is a Little Taste Of Your ChallengeWork side by side with the Security team to understand current and emerging attack techniques against mobile apps, and translate them into well-framed data problems.Explore and analyze our telemetry (datalake on ClickHouse and S3) to uncover signals, patterns, and anomalies with detection value.Design, prototype, and evaluate attack detection and prevention models: anomaly detection, classification with scarce labels, behavioral models, event time-series analysis.Define how success is measured: detection metrics, acceptable false-positive rates, and evaluation methodology when complete ground truth doesn't exist.Take validated prototypes toward production in collaboration with the engineering team, and lay the foundations (features, datasets, labeling processes) for the team's ML capability to grow.Stay current with research in ML applied to security (anomaly detection, adversarial ML, fraud)



and bring actionable ideas.Who are you?Proven experience (5+ years, or PhD plus applied experience) researching and developing ML models on real-world problems, ideally in security, fraud, anti-bot, anti-malware, or similar adversarial domains.Strong command of anomaly detection and unsupervised / semi-supervised learning: labeled data is scarce in this domain, and that shapes the entire approach.Experience with large-scale telemetry or event data: logs, time series, user or device behavior data.Full autonomy with raw data: solid Python (pandas/polars, scikit-learn, PyTorch or similar), advanced SQL, and comfort working directly against a datalake without prepared datasets.Product mindset: the ability to go from a research idea to an evaluable prototype in weeks, not months, and to communicate results to non-technical stakeholders.Genuine curiosity about cybersecurity and the drive to learn the domain in depth alongside th

📌 Ml Scientist (Madrid)
🏢 Johnson & Johnson Innovative Medicine
📍 Madrid