You will join an AI & Analytics team within a public-sector data platform, working on data-driven solutions that support a more efficient, transparent and evidence-based government. As a Data Scientist, you build and operationalise advanced machine learning and AI models that turn large, complex datasets into actionable insights for policy makers and operational teams.

You collaborate with data engineers, data architects and domain experts to prepare, model and transform data for AI use cases. You apply state-of-the-art techniques in machine learning, deep learning and natural language processing (NLP) and ensure your work is transparent, reproducible and ethically sound. You also help shape the AI & Analytics strategy and support the broader digital transformation of the public sector.

What you will do

You will design, train and implement machine learning and AI models on large, heterogeneous datasets, and translate business questions into analytical experiments and AI use cases.

You prepare data through cleaning, feature engineering and transformation, and evaluate models using robust validation and tuning techniques.

You will explore and apply modern LLM tooling such as LangChain and/or LangGraph where relevant, and leverage cloud platforms (e.g. Azure, Databricks) for scalable data processing and model development. You will also analyse data flows, optimise queries and contribute to performant and reliable data pipelines.

You will communicate insights through clear reports, dashboards and presentations tailored to different audiences, from management summaries to more technical documentation. You actively share knowledge within the team, coach less experienced colleagues, and contribute to reusable components and best practices for AI and analytics.

Throughout, you work within a secure, controlled analytics environment, ensuring data privacy, minimal data usage and a value-driven approach to business logic.