Principal Data Scientist - Healthcare

Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-longtrack recordof delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale.

Our 150-strong AI and Data Practicebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at thecutting edgeof AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability.

MAIN PURPOSE OF THE ROLE&RESPONSIBILITIES IN THE BUSINESS:

AsaPrincipal Data Scientist at Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions thatleveragestate-of-the-artmachine learning, generative, and agentic AI technologies. You willhelpset the direction for AI and data science across the business, driving the adoption of modern AI development practices and scalable, cloud-native architectures at enterprise scale.You will provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principlesandstrategic direction. Asasenior technical leader in AI, you will foster a culture of innovation, continuouslearningand engineering excellence—both within Kainos and across the wider industry.

You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers, ensuring the adoption of robust standards and responsible AI practices. You will build enduring customer relationships, proactively develop new alliances with technology partnersand shape Kainos’ commercial AI offerings. Your leadership will be instrumental in embedding commercial acumen, influencing accountstrategiesand ensuringcustomers getmeasurable business value from AI investments. 

MINIMUM(ESSENTIAL)REQUIREMENTS:

• Proventrack recordof accountability for the delivery of complex, production-grade AI/ML solutions at scale.

• Demonstrable experienceoftechnical leadershipinAI delivery.

• Deepexpertisein developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMsand agentic AI.

• Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG)and orchestration of agentic AI systems.

• Expertisein data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources.

• Deep understanding of responsible AI principles, modelinterpretabilityand ethical considerations, witha track recordof influencing policy and standards.

• Ability to communicate and negotiate with C-level and senior stakeholders, translating complex technical concepts into business value.

• Experience in developing and executing account strategies, shaping commercial AIofferingsand driving business development in partnership with sales and account managers.

• Demonstrated ability to build andleadhigh-performing teamsand widerAI and data science communities.

• Strong commercial acumen with a history of influencing the commercial success of AI products and solutions.

DESIRABLE:

• Experience with modern deep learning frameworks (e.g.PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g.scikit-learn,XGBoost).

• Experience with data storage for AI, 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.ISO 42001).