Smartedge Solutions

Senior Data Scientist (Python, PySpark)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (Python, PySpark) with 5+ years of experience, focusing on financial crime and fraud monitoring. It offers remote work in Ireland/UK, requiring strong Python and PySpark skills, and expertise in AML concepts.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 17, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United Kingdom
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🧠 - Skills detailed
#NumPy #Spark (Apache Spark) #Pandas #Data Science #Compliance #ML (Machine Learning) #Monitoring #PySpark #Data Processing #Datasets #Model Evaluation #Data Ingestion #Python
Role description
Smartedge’s Client is looking for an individual to help with their Senior Data Scientist (Python, PySpark) @ Remote Working (Ireland / UK) Key area: β€’ We are looking for an experienced Senior Data Scientist with strong expertise in Python, PySpark, and advanced analytics, along with a solid understanding of Financial Crime, Fraud Monitoring, and AML concepts. β€’ The ideal candidate will work on large-scale data to build, enhance, and optimize analytical and machine learning models used for fraud detection and financial crime prevention. β€’ Design, develop, and deploy data science and machine learning models for fraud detection, transaction monitoring, and financial crime use cases β€’ Analyze large, complex datasets using Python and PySpark in distributed data environments β€’ Build end-to-end analytics pipelines including data ingestion, feature engineering, model training, and validation β€’ Apply statistical analysis, ML techniques, and pattern recognition to identify suspicious behaviors and emerging fraud typologies β€’ Collaborate with business, compliance, and technology teams to translate financial crime requirements into analytical solutions β€’ Monitor model performance, perform tuning, and ensure model stability and regulatory alignment β€’ Document models, methodologies, and assumptions for internal governance and audit requirements β€’ Stay updated on financial crime trends, fraud patterns, and regulatory expectations β€’ 5+ years of experience in Data Science, Analytics, or a related role β€’ Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) β€’ Hands-on experience with PySpark / Spark for large-scale data processing β€’ Solid understanding of Financial Crime domains including: β€’ Fraud Monitoring β€’ Transaction Monitoring β€’ AML / CTF concepts β€’ Customer risk and suspicious activity patterns β€’ Experience building and validating machine learning models (supervised & unsupervised) β€’ Strong knowledge of data preprocessing, feature engineering, and model evaluation β€’ Ability to communicate complex analytical findings to non-technical stakeholders If this sounds like a role you would be interested in or if you know someone in this field. Connect with me or email me at vineetha.s@smartedgesolutions.co.uk Alternatively, you can call me on Tel: +44(0)203 500 2108.