Principal Data Scientist - Healthcare

Kainos is a leading AI and data company recognized for delivering impactful AI solutions across various sectors, with a strong focus on responsible AI and innovation. They are seeking a Principal Data Scientist to lead large-scale AI projects, shape AI strategy, and foster a culture of excellence.

Location: Remote (UK, EU, US, or other regions as not specified)

Responsibilities

• Deliver large-scale, high-impact AI solutions leveraging state-of-the-art machine learning, generative, and agentic AI technologies.
• Set the direction for AI and data science across the business, promoting modern AI development practices and scalable cloud-native architectures.
• Provide technical and strategic leadership, engaging with C-level and senior stakeholders to define architectural principles.
• Foster a culture of innovation, continuous learning, and engineering excellence within Kainos and the wider industry.
• Lead, mentor, and develop a community of data scientists, AI engineers, and technical managers.
• Build customer relationships, develop alliances with technology partners, and shape Kainos' commercial AI offerings.
• Ensure customers derive measurable business value from AI investments.

Requirements

• Proven track record of delivering complex, production-grade AI/ML solutions at scale.
• Experience in technical leadership in AI delivery.
• Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs, and agentic AI.
• Experience with AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and orchestration of agentic AI systems.
• Expertise in data engineering for AI, handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources.
• Deep understanding of responsible AI principles, model interpretability, and ethical considerations.
• Ability to communicate and negotiate with C-level and senior stakeholders, translating technical concepts into business value.
• Experience in developing and executing account strategies, shaping commercial AI offerings, and driving business development.
• Demonstrated ability to build and lead high-performing teams and AI communities.
• Strong commercial acumen with a history of influencing the commercial success of AI products and solutions.