Senior Data Scientist - Healthcare

Join Kainos and Shape the Future.

At Kainos, we’re problem solvers, innovators, and collaborators – driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting‑edge Workday solutions, or pushing the boundaries of technology, we do it together.

We believe in a people‑first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.

Ready to make your mark? Join us and be part of something bigger.

Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade‑long track record of delivering production‑grade AI solutions to clients across government, healthcare, defence and commercial sectors.

As a Senior Data Scientist at Kainos, you will build advanced AI solutions leveraging state‑of‑the‑art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud‑native architectures. Your role involves hands‑on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions, ensuring responsible AI practices, and mentoring colleagues.

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• Build advanced AI solutions using modern machine learning, generative and agentic AI techniques.
  
• Drive adoption of modern AI frameworks, AIOps best practices and scalable cloud‑native architectures.
  
• Collaborate with customers to translate business challenges into trustworthy AI solutions and ensure responsible AI practices throughout.
  
• Mentor technical colleagues, fostering a culture of innovation and engineering excellence.
  
• Support junior developers and more seasoned engineers by providing direction and solving challenging problems.
  

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• Minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field.
  
• Deep understanding and development experience with AI/ML models, including time series, 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 and grounding in software engineering best practices (CI/CD, testing, code reviews, etc.).
  
• Expertise in data engineering for AI: handling large‑scale, unstructured and multimodal data.
  
• Understanding of responsible AI principles, model interpretability and ethical considerations.
  
• Strong interpersonal skills and team‑working experience.
  

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• Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine‑tuning or distilling LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit‑learn, XGBoost).
  
• Experience with AI data storage, vector databases, semantic search and knowledge graphs.
  
• Active contribution to open‑source AI projects, research publications and industry events/websites.
  
• Familiarity with AI security, privacy and compliance standards (e.g. ISO42001).
  

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected and given an equal chance to thrive. We actively seek talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability or any other characteristic that makes them who they are. We also provide accommodations and adjustments to support a tailored recruitment process for each candidate.