Senior Data Scientist (Python, PySpark)

Summary: The role of Senior Data Scientist at Smartedge involves leveraging expertise in Python and PySpark to develop and optimize analytical and machine learning models aimed at fraud detection and financial crime prevention. The candidate will analyze large datasets and collaborate with various teams to translate financial crime requirements into actionable analytical solutions. A strong understanding of Financial Crime, Fraud Monitoring, and AML concepts is essential for success in this position. This is a remote working opportunity available to candidates in Ireland and the UK.

Key Responsibilities:

• Design, develop, and deploy data science and machine learning models for fraud detection, transaction monitoring, and financial crime use cases.
• Analyze large, complex datasets using Python and PySpark in distributed data environments.
• Build end-to-end analytics pipelines including data ingestion, feature engineering, model training, and validation.
• Apply statistical analysis, ML techniques, and pattern recognition to identify suspicious behaviors and emerging fraud typologies.
• Collaborate with business, compliance, and technology teams to translate financial crime requirements into analytical solutions.
• Monitor model performance, perform tuning, and ensure model stability and regulatory alignment.
• Document models, methodologies, and assumptions for internal governance and audit requirements.
• Stay updated on financial crime trends, fraud patterns, and regulatory expectations.

Key Skills:

• 5+ years of experience in Data Science, Analytics, or a related role.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.).
• Hands-on experience with PySpark / Spark for large-scale data processing.
• Solid understanding of Financial Crime domains including Fraud Monitoring, Transaction Monitoring, and AML / CTF concepts.
• Experience building and validating machine learning models (supervised & unsupervised).
• Strong knowledge of data preprocessing, feature engineering, and model evaluation.
• Ability to communicate complex analytical findings to non-technical stakeholders.

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT