Senior Data Scientist - Healthcare

Kainos, Birmingham, United Kingdom

At Kainos, we advance AI solutions across government, healthcare, defense and commercial sectors. Our AI & Data Practice delivers responsible, high‑impact applications at scale, partnering with Microsoft, AWS and other leading platforms.

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• Design and implement advanced AI solutions using state‑of‑the‑art machine learning, generative and agentic AI technologies.
  
• Drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud‑native architectures.
  
• Collaborate with customers to translate business challenges into trustworthy AI solutions, ensuring responsible AI throughout.
  
• Mentor junior staff, foster a culture of innovation, continuous learning and engineering excellence.
  

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• A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field.
  
• Deep understanding and experience developing AI/ML models, including supervised/unsupervised learning, reinforcement learning and LLMs.
  
• Experience with the latest AI engineering approaches such as prompt engineering, retrieval‑augmented generation (RAG) and agentic AI.
  
• Strong Python skills with grounding in software engineering best practices (CI/CD, testing, code reviews).
  
• Expertise in data engineering for AI: handling large‑scale, unstructured, multimodal data.
  
• Understanding of responsible AI principles, model interpretability and ethical considerations.
  
• Strong interpersonal skills and teamwork.
  

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• Experience fine‑tuning or distilling large language models (LLMs) using modern deep learning frameworks.
  
• Knowledge of vector databases, semantic search and knowledge graphs.
  
• Contribution to open‑source AI projects, research publications or industry events.
  
• Familiarity with AI security, privacy, compliance standards such as ISO42001.
  

Kainos values diversity, equity and inclusion. We actively seek talent from all backgrounds and provide an inclusive, respectful, and equitable work environment.

To apply, submit your application via our careers portal. If you require accommodations, please reach out to our talent acquisition team.