?? Data & Analytics - Data Scientist ?? 6-Month Contract | ?? Primarily Remote | ?? Inside IR35 ?? Location: Hybrid - mainly remote. Occasional client travel may be required (pre-approved and reimbursed by the client). ?? Rate: £327 - £393 / day (PAYE) £435 - £522 / day (Umbrella) (Inside IR35) ?? About the Role We're seeking a skilled Data Scientist to join our Data & Analytics team for a 6-month project focused on AI in Commercial Banking. You'll lead end-to-end data science activities from data collection and cleaning to analysis, modelling, and insight generation working closely with client teams to deliver actionable, AI-driven outcomes that power smarter business decisions. ?? Key Responsibilities As a Data Scientist, you'll: ?? Collect, clean, and preprocess structured and unstructured data from diverse internal and external sources. ?? Perform exploratory data analysis (EDA) to uncover patterns, trends, and anomalies. ?? Design and build data pipelines with engineering teams to produce model-ready datasets. ?? Apply feature engineering and selection techniques to enhance model accuracy and interpretability. ?? Develop and validate machine learning and statistical models for predictive, classification, clustering, or optimization tasks. ?? Implement supervised and unsupervised learning algorithms using Scikit-learn, TensorFlow, or PyTorch. ?? Apply advanced techniques such as NLP, time-series forecasting, and optimization algorithms when required. ?? Evaluate and fine-tune models with appropriate metrics and hyperparameter optimization. ?? Collaborate with MLOps and engineering teams to transition proof-of-concept models into production-grade solutions. ?? Experience & Skills Required You'll bring: ? Proven ability to translate model outputs into clear, actionable business insights through compelling data storytelling and visualization. ? Experience building dashboards and reports with Power BI, Tableau, or Python-based visualization tools. ? Strong communication skills to engage both technical and non-technical stakeholders. ? Experience working with business analysts, architects, and domain experts to define use cases and success metrics. ? Contribution to enterprise AI roadmaps and a passion for promoting best practices in analytics and modelling. ? Thorough documentation of methodologies, model logic, and validation results for audit and reproducibility. ? Familiarity with Agile environments, participating in sprint planning, stand-ups, and client showcases. Randstad Technologies is acting as an Employment Business in relation to this vacancy.