

Smartedge Solutions
Senior Data Scientist (Python, PySpark)
β - 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.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
February 17, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - 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
Smartedgeβs 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.
Smartedgeβs 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.






