Remote Principal Data Scientist Jobs in London

2 of 2 Remote Principal Data Scientist Jobs in London

Principal Data Scientist – Digital Banking & Risk Analytics

London Area, United Kingdom
Hybrid/Remote Options
Opus Recruitment Solutions
Location: London (Hybrid) Contract Type: Permanent About the Role We are working with a leading financial technology innovator to recruit a Principal Data Scientist for a flagship digital banking transformation programme. This role is pivotal in developing advanced machine learning solutions that enhance credit risk modelling, fraud detection, and personalised financial services for millions of customers. The … in areas such as credit scoring, transaction monitoring, and customer segmentation. This is a chance to influence the architecture of next-generation banking platforms while mentoring a team of data scientists and collaborating with engineering and product leaders. Key Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build … teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability, and regulatory compliance in financial services. Lead and coach a team of data scientists, ensuring technical excellence and innovation. What We’re Looking For 10+ years of experience in data science or applied machine learning, ideally within financial services or fintech. More ❯
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Principal Data Scientist – Digital Banking & Risk Analytics

City of London, London, United Kingdom
Hybrid/Remote Options
Opus Recruitment Solutions
Location: London (Hybrid) Contract Type: Permanent About the Role We are working with a leading financial technology innovator to recruit a Principal Data Scientist for a flagship digital banking transformation programme. This role is pivotal in developing advanced machine learning solutions that enhance credit risk modelling, fraud detection, and personalised financial services for millions of customers. The … in areas such as credit scoring, transaction monitoring, and customer segmentation. This is a chance to influence the architecture of next-generation banking platforms while mentoring a team of data scientists and collaborating with engineering and product leaders. Key Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build … teams to embed intelligent decision engines into core banking workflows. Define best practices for model governance, explainability, and regulatory compliance in financial services. Lead and coach a team of data scientists, ensuring technical excellence and innovation. What We’re Looking For 10+ years of experience in data science or applied machine learning, ideally within financial services or fintech. More ❯
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