Internal Client Services - Data Scientist: Advanced Analytics, Business Intelligence, Machine Learning and Artificial Intelligence (2 Year Contract)

At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across Internal Client Services (ICS), Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T). We are looking for a Data Scientist to design and deliver advanced analytics products that combine data engineering, business intelligence, machine learning and artificial intelligence. You will turn business questions into model‑driven insights, build trusted data pipelines and visualisations, and translate analytical outputs into clear, actionable recommendations that drive decisions. Key Requirements Frame business problems into descriptive, diagnostic, predictive or artificial intelligence‑enabled analytics opportunities. Prepare and structure data for dashboards, models and advanced analysis. Develop business intelligence products that integrate analytical or model outputs with clear user journeys and measures. Build statistical, forecasting, anomaly detection, segmentation or predictive models where justified. Perform feature engineering, model validation and documentation of assumptions, limitations and risks. Implement data validation and reconciliation to ensure trusted results. Translate analytical output