Senior Data Scientist

IrelandFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of experience in data science, ideally within fintech, credit, lending, payments, or similarly risk-intensive domains.
Strong expertise in fraud detection, underwriting, or risk modeling with demonstrated experience in financial decision systems.
Advanced proficiency in SQL and Python, with experience building, deploying, and monitoring production machine learning models.
Strong understanding of statistical modeling, machine learning techniques, and real-world data constraints in financial contexts.
Familiarity with mobile app ecosystems or subscription-based digital products is highly desirable.
Proven ability to operate independently in ambiguous environments, making high-impact decisions with limited information.
Strong systems thinking mindset with the ability to scale solutions and identify automation opportunities.
Ownership mentality with a strong bias for action, execution, and measurable impact.

Own and define the data science strategy for underwriting, fraud detection, and lead qualification systems from inception to production-scale deployment.
Build, validate, and maintain advanced machine learning models that assess financial risk using real-time, cross-platform revenue and behavioral data.
Develop anomaly detection and fraud prevention systems that safeguard financial transactions while enabling business growth.
Partner with Product and Engineering to integrate risk signals into decision engines and customer-facing workflows.
Analyze large-scale datasets to generate insights that improve credit models, product design, and financial decisioning frameworks.
Establish performance measurement frameworks to track model effectiveness and continuously improve predictive accuracy and business impact.

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