Freelance Data Scientist (Fintech)

TL;DR

Freelance Data Scientist (Fintech): Develop and prototype fraud and AML detection models using real-world financial data with an accent on machine learning, statistical analysis, and model interpretability. Focus on designing, tuning, and validating models to detect fraud signals and anomalies effectively in a fast-paced, early-stage product environment.

Location: Hybrid from Utrecht, Netherlands

Company

hirify.global is a fast-growing FinTech SaaS company focused on preventing payment fraud globally, backed by leading investors and operating with a flat organizational structure.

What you will do

• Explore large financial datasets to identify patterns and insights related to fraud and AML.
• Build and fine-tune machine learning prototypes to validate fraud detection hypotheses.
• Select and apply appropriate algorithms including supervised, unsupervised, and anomaly detection methods.
• Collaborate with product and ML engineering teams to transition prototypes into scalable systems.
• Define success metrics for fraud detection models, balancing recall, precision, and business cost.
• Promote model explainability and ethical machine learning practices within the team.

Requirements

• Location: Hybrid from Utrecht, Netherlands
• 3–5 years of experience in data science, preferably in fraud, security, or high-noise domains.
• Strong statistical and analytical skills with proficiency in Python and ML libraries (pandas, scikit-learn, PyTorch, MLflow).
• Experience designing, tuning, and evaluating machine learning models.
• Familiarity with data pipelines, backend development, and infrastructure.
• Comfortable working in ambiguous, fast-paced, early-stage product environments.
• Knowledge of model interpretability tools and techniques.

Nice to have

• Experience in AML, fraud prevention, or transaction monitoring.
• Exposure to systems like FCRM, NICE Actimize, RiskShield, or Pega.
• CI/CD practices applied to ML systems.
• Interest in generative AI and prompt engineering.

Culture & Benefits

• Supportive employer valuing health, family, and safety.
• Flat organization with no hierarchy and a diverse, international team.
• Focus on teamwork, innovation, and responsibility.
• Casual business environment promoting authenticity and collaboration.