Applied Data Scientist

We're now looking for a talented Applied Data Scientist to support the next phase of AI-enabled digital product suite.

This is an opportunity to design, develop and deliver intelligent, data-driven services that are simpler, clearer and faster and that genuinely meet user needs at national scale.

You'll play a key role in exploring complex datasets, building production-ready machine learning and generative AI solutions, and working closely with multidisciplinary teams to translate real user problems into impactful AI capabilities., * Exploring, analysing and interpreting large, complex and diverse datasets to uncover insights and opportunities for AI-driven improvement.

• Designing, building, evaluating and optimising machine learning, deep learning and generative AI models for real-world service applications.
• Collaborating with engineers, product managers, designers and policy stakeholders to translate user needs into scalable AI solutions.
• Contributing to AI-enabled capabilities such as intelligent automation, natural language understanding, prediction and decision support.
• Ensuring responsible, ethical and secure use of AI and data aligned with governance, privacy and public sector standards.
• Communicating technical findings, model behaviour and limitations clearly to both technical and non-technical audiences.
• Supporting experimentation, evaluation and continuous improvement of AI systems in production environments.
• Staying current with emerging AI research, tooling, model capabilities and best practice.

• Strong proficiency in Python for data science, machine learning and AI development.
• Experience developing and deploying machine learning or deep learning models.
• Knowledge of natural language processing, transformers or generative AI techniques.
• Solid grounding in statistics, probability and experimental design.
• Experience working with large datasets using SQL or cloud data platforms.
• Ability to explain complex AI concepts to diverse technical and non-technical stakeholders.
• Experience collaborating within multidisciplinary digital or product teams.
• Clear commitment to ethical, transparent and responsible AI development.
• Comfort working in fast-moving, evolving and sometimes ambiguous environments.

Desirable (but not essential):

• Experience working with large language models via APIs or open-source frameworks.
• Fine-tuning or evaluating generative AI systems.
• Knowledge of MLOps, monitoring and lifecycle management.
• Experience with cloud AI/ML services and scalable data platforms.
• Exposure to reinforcement learning, graph machine learning or advanced deep learning techniques.
• Data visualisation or decision-intelligence tooling experience.
• Experience within government, public sector or other regulated environments.
• Mentoring colleagues or supporting wider AI capability development.