Data Scientist (Fintech)

Location: Utrecht, Netherlands; hybrid working setup.

Company

hirify.global is a fast-growing FinTech SaaS company providing account verification and payment-fraud prevention solutions for banks and organizations.

What you will do

• Build rapid machine learning prototypes to validate hypotheses and assess signal quality.
• Collaborate with product and ML engineering to turn proof-of-concepts into scalable systems.
• Analyze financial datasets to identify patterns, edge cases, and actionable insights.
• Select and apply supervised, unsupervised, and anomaly-detection algorithms.
• Design and tune models while addressing overfitting, false positives, and interpretability.
• Help define fraud-detection success metrics, including recall, precision, AUC, and business cost.

Requirements

• 5+ years of experience in Data Science roles, ideally in fraud, security, or other high-noise domains.
• Strong statistical and analytical skills, with the ability to reason clearly about data and model performance.
• Proficiency in Python and machine learning libraries such as pandas, scikit-learn, PyTorch, and MLflow.
• Experience designing, tuning, and evaluating machine learning models.
• Knowledge of data pipelines, basic backend development, and infrastructure awareness.
• Familiarity with model interpretability tools and techniques.
• Ability to contribute ideas, structure, and rigor in an early-stage product team and solve messy problems across the data science stack.

Culture & Benefits

• Hybrid working setup with a culture of ownership, innovation, autonomy, teamwork, and responsibility.
• Competitive salary plus an 8% personal benefits budget usable for training, additional time off, or salary.
• 25 holidays, pension plan, and covered travel costs through an NS Business Card.
• MacBook Pro, iPhone, and other required technology.
• Friday drinks, offsites, and a quarterly company meetup.
• Diverse international team with more than 35 nationalities.