Principal Data Scientist – Healthcare

November 18

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Kainos

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At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people’s lives easier.

1001 - 5000 employees

💰 Venture Round on 1986-04

📋 Description

• 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. • 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. • Provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principles and strategic direction. • Foster a culture of innovation, continuous learning and engineering excellence—both within Kainos and across the wider industry. • Lead, mentor, and develop a community of data scientists, AI engineers, and technical managers, ensuring the adoption of robust standards and responsible AI practices. • Build enduring customer relationships, proactively develop new alliances with technology partners and shape Kainos’ commercial AI offerings.

🎯 Requirements

• Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. • Demonstrable experience of 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 the latest 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, with a track record of 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 AI offerings and driving business development in partnership with sales and account managers. • Demonstrated ability to build and lead high-performing teams and wider AI and data science communities. • Strong commercial acumen with a history of influencing the commercial success of AI products and solutions.

🏖️ Benefits

• Health insurance • Professional development opportunities