Data Scientist

JOB DESCRIPTION Role: Solutions Architect Location: London, UK Mode: Hybrid Type: Contract Inside IR35 Skills and domain required: GCP and Banking Job Summary We are seeking an experienced Data Scientist with hands-on expertise in Google Cloud Platform (GCP) to join a leading banking client. The ideal candidate will leverage advanced analytics, machine learning, and cloud-native technologies to develop predictive models, generate actionable insights, and support strategic business decisions across risk, fraud, customer analytics, and regulatory initiatives. The role requires close collaboration with business stakeholders, data engineers, and technology teams to build scalable, production-ready machine learning solutions within a cloud-based environment. Key Responsibilities • Design, develop, and deploy machine learning and statistical models to solve complex business problems. • Analyze large structured and unstructured datasets to identify trends, patterns, and business opportunities. • Build predictive models for customer analytics, fraud detection, credit risk, AML, and operational efficiency. • Develop end-to-end ML pipelines on Google Cloud Platform (GCP). • Collaborate with Data Engineering teams to build scalable data processing pipelines. • Deploy and monitor machine learning models using GCP MLOps capabilities. • Perform feature engineering, model validation, and performance optimization. • Work with stakeholders to translate business requirements into analytical solutions. • Present analytical findings and recommendations to technical and non-technical audiences. • Ensure compliance with banking security, governance, and regulatory standards. Support model monitoring, retraining, and continuous improvement initiatives