Principal Data Scientist - Healthcare
Role details
Job location
Tech stack
Job description
As a Principal Data Scientist at Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that leverage state-of-the-art machine learning, generative, and agentic AI technologies. You will help set 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 principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and 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 partners and shape Kainos' commercial AI offerings. Your leadership will be instrumental in embedding commercial acumen, influencing account strategies and ensuring customers get measurable business value from AI investments.
Requirements
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Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale.
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Demonstrable experience of technical leadership in AI delivery.
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Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI.
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Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems.
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Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources.
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Deep understanding of responsible AI principles, model interpretability and ethical considerations, with a track record of influencing policy and standards.
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Ability to communicate and negotiate with C-level and senior stakeholders, translating complex technical concepts into business value.
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Experience in developing and executing account strategies, shaping commercial AI offerings and driving business development in partnership with sales and account managers.
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Demonstrated ability to build and lead high-performing teams and wider AI and data science communities.
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Strong commercial acumen with a history of influencing the commercial success of AI products and solutions.
DESIRABLE:
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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).
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Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.
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Active contribution to open-source AI projects, research publications, and industry events/websites.
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Familiarity with AI security, privacy, and compliance standards (e.g. ISO 42001).