Senior Fraud Risk Data Scientist

SurePay; Utrecht; Ibrido; EUR 90.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Salary + benefits

Holidays

Hybrid work

Tech hardware

Travel allowance

Pension plan

Culture of ownership

Social events

Diverse team

Descrizione del lavoro

SurePay in Utrecht, Netherlands, is expanding its Fraud Risk Intelligence domain and seeks a Senior Data Scientist to design and launch a centralized risk-scoring engine for transactions. You’ll prototype quickly, collaborate with product and ML engineering, and translate complex data into production-ready solutions.

You bring 5+ years in data science (fraud/security), strong statistics, Python and ML libraries, and experience building data pipelines. Location: hybrid work in the Netherlands.

Competenze

• 5+ years of experience in Data Science roles, ideally within fraud, security, or high-noise domains.
• Strong statistical and analytical skills. You should be able to reason clearly about data and model performance.
• Proficient in Python and key ML libraries (e.g., pandas, scikit‑learn, PyTorch, 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

Mansioni

• Build quick-turnaround ML prototypes to validate hypotheses and identify signal quality
• Work closely with product and ML engineering to turn POCs into scalable systems
• Explore financial datasets to uncover patterns, edge cases, and insights
• Select the right algorithms based on the problem (supervised, unsupervised, anomaly detection, etc.)
• Fine-tune models with awareness of overfitting, false positives, and interpretability
• Help define how we measure success for fraud detection (e.g., recall vs. precision, AUC, business cost)

Conoscenze

Python

Pandas

Scikit-learn

PyTorch

MLflow

Data pipelines

Model evaluation

Interpretability

Backend basics

Descrizione del lavoro

SurePay in Utrecht, Netherlands, is expanding its Fraud Risk Intelligence domain and seeks a Senior Data Scientist to design and launch a centralized risk-scoring engine for transactions. You’ll prototype quickly, collaborate with product and ML engineering, and translate complex data into production-ready solutions.

You bring 5+ years in data science (fraud/security), strong statistics, Python and ML libraries, and experience building data pipelines. Location: hybrid work in the Netherlands.