Data Scientist

Role: Data Scientist – AI in Commercial Banking Location: Remote within the UK, hybrid attendance only when required Type: Contract (6 Months, Inside IR35) My client, a global IT services provider, is seeking a Data Scientist to support a high-impact AI initiative within a commercial banking environment. This role sits within a collaborative delivery team focused on advanced analytics and machine learning solutions that drive strategic insights and operational efficiency. Responsibilities • Collect, clean, and preprocess structured and unstructured data from diverse sources • Perform exploratory data analysis (EDA) to uncover trends and anomalies • Design and implement data pipelines in collaboration with data engineering teams • Apply feature engineering and selection techniques to enhance model performance • Build and validate ML models for prediction, classification, clustering, and optimization • Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning • Implement NLP, time-series forecasting, and optimization algorithms as needed • Collaborate with MLOps teams to deploy production-grade pipelines • Communicate insights through dashboards and visualizations using Power BI, Tableau, or Python • Engage with stakeholders to define use cases and success metrics • Participate in Agile ceremonies and contribute to the enterprise AI roadmap Required Skills • Proven experience in data science and machine learning • Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) • Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) • Ability to translate complex model outputs into actionable business insights • Excellent communication skills with both technical and non-technical audiences • Familiarity with Agile methodologies and cross-functional collaboration • Background in banking or financial services is a plus Ready to make an impact in a high-profile AI project within the financial sector? We’re keen to hear from you — apply now.