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.

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• 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.
  

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• 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.
  

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• 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.