Applied Data Scientist

Applied Data Scientist.

Excellent salary plus benefits.

Midlands / Hybrid / Remote.

Negotiable salary depending on experience.

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.

Key responsibilities include:

• 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.
  
  Experience & Skills
  
  
• 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.
  
  This is a unique opportunity to shape how AI is applied across the organisation and help shape the business’ AI journey