Senior Data Scientist - Financial Crime & Fraud Detection

Data Scientist | Financial Crime & Fraud | Daily Rate Contract

We are working with one of Ireland leading banking institutions to recruit a Data Scientist to join their Dublin-based Financial Crime Analytics team. This is a high-impact, 6-month initial contract (with strong extension potential) offered on a fully remote basis for candidates based in Ireland.

You will play a pivotal role in defending the bank and its customers by leveraging massive datasets to build sophisticated machine learning models that detect fraud, money laundering, and suspicious financial activity.

The Role

As a Data Scientist, you will move beyond basic reporting to design and deploy end-to-end ML solutions. You will work in a distributed data environment, transforming raw transactional data into actionable intelligence.

Key Responsibilities:

• Model Development: Design, develop, and deploy ML models specifically for Fraud Detection and AML Transaction Monitoring.
• Big Data Engineering: Utilize PySpark and Python to process and analyze large-scale, complex datasets.
• End-to-End Pipelines: Build robust analytics pipelines covering data ingestion, feature engineering, and rigorous model validation.
• Pattern Recognition: Apply advanced statistical techniques to identify emerging fraud typologies and suspicious behavioral patterns.
• Stakeholder Collaboration: Bridge the gap between technical execution and business requirements by working closely with Compliance and Technology teams.
• Governance: Ensure all models meet strict regulatory standards through detailed documentation of methodologies and assumptions.

Experience:

• 5+ years of professional experience in Data Science or Advanced Analytics.
• Expert Python skills: Deep familiarity with the data stack (NumPy, Pandas, Scikit-learn).

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• Big Data Expertise: Proven hands-on experience using PySpark/Spark for distributed processing.
• ML Mastery: Strong track record of building and validating both supervised and unsupervised models.
• Solid understanding of Financial Crime domains, including Fraud Monitoring, AML/CTF, and Customer Risk scoring.
• Ability to translate complex "Suspicious Activity" concepts into mathematical features and logic.

Contract Details

• Duration: 6 Months (Initial)
• Location: 100% Remote
• Rate: Competitive Daily Rate (Dependent on experience)
• Sector: Banking / Financial Services