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Principal Data Scientist - Healthcare
<h1><span class="emphasis-3">Join Kainos and Shape the Future </span></h1><p>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.</p><p><br>We believe in a <b>people-first culture</b>, 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.</p><p><br>Ready to make your mark? <b>Join us and be part of something bigger.</b></p><div><div><p><span><span>Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long<span> </span></span><span>track record</span><span><span> </span>of 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.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>Our 150-strong AI and Data Practice<span> </span></span><span>brings</span><span><span> </span>together deep<span> </span></span><span>expertise</span><span><span> </span>in machine learning, generative AI, agentic<span> </span></span><span>AI</span><span><span> </span>and 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 the<span> </span></span><span>cutting edge</span><span><span> </span>of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><b><span>M</span></b><b><span>AIN PURPOSE OF THE ROLE<span> </span></span></b><b><span>&</span></b><b><span><span> </span>RESPONSIBILITIES IN THE BUSINESS</span></b><b><span>:</span></b><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>As<span> </span></span><span>a<span> </span></span><span>Principal Data Scientist at Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that<span> </span></span><span>leverage</span><span><span> </span></span><span>state-of-the-art</span><span><span> </span>machine learning, generative, and agentic AI technologies. You will<span> </span></span><span>help<span> </span></span><span>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</span><span>.</span><span> <span> </span></span><span>You will provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principles</span><span><span> </span>and</span><span><span> </span>strategic direction</span><span>. </span><span><span> </span></span><span>As<span> </span></span><span>a</span><span><span> </span>senior technical leader in AI, you will foster a culture of innovation, continuous<span> </span></span><span>learning</span><span><span> </span>and engineering excellence—both within Kainos and across the wider industry.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>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</span><span><span> </span></span><span>and shape Kainos’ commercial AI offerings. Your leadership will be instrumental in embedding commercial acumen, influencing account<span> </span></span><span>strategies</span><span><span> </span></span><span>and ensuring<span> </span></span><span>customers get<span> </span></span><span>measurable business value from AI investments.</span><span> </span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><b><span>M</span></b><b><span>INIMUM<span> </span></span></b><b><span>(</span></b><b><span>ESSENTIAL</span></b><b><span>)</span></b><b><span><span> </span>REQUIREMENTS</span></b><span><span>:</span></span><span> </span></p></div><div><p><span> </span></p></div><div><ul><li><p><span><span>Proven<span> </span></span><span>track record</span><span><span> </span>of accountability for the delivery of complex, production-grade AI/ML solutions at scale</span><span>.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrable experience<span> </span></span><span>of</span><span><span> </span>technical leadership<span> </span></span><span>in</span><span><span> </span>AI delivery</span><span>.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Deep<span> </span></span><span>expertise</span><span><span> </span>in developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs</span><span><span> </span></span><span>and agentic AI.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG</span><span>)</span><span><span> </span>and orchestration of agentic AI systems.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Expertise</span><span><span> </span>in data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Deep understanding of responsible AI principles, model<span> </span></span><span>interpretability</span><span><span> </span></span><span>and ethical considerations, with<span> </span></span><span>a track record</span><span><span> </span>of influencing policy and standards.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ability to communicate and negotiate with C-level and senior stakeholders, translating complex technical concepts into business value.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience in developing and executing account strategies, shaping commercial AI<span> </span></span><span>offerings</span><span><span> </span>and driving business development in partnership with sales and account managers.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated ability to buil</span><span>d and</span><span><span> </span>lead</span><span><span> </span></span><span>high-performing teams</span><span><span> </span>and wider<span> </span></span><span>AI and data science communit</span><span>ies</span><span>.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong commercial acumen with a history of influencing the commercial success of AI products and solutions.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><b><span>D</span></b><b><span>ESIRABLE</span></b><b><span>:</span></b><span> </span></p></div><div><p><span> </span></p></div><div><ul><li><p><span><span>Experience with modern deep learning frameworks (e.g.</span><span><span> </span></span><span>PyTorch</span><span>, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g.</span><span><span> </span></span><span>scikit-learn,<span> </span></span><span>XGBoost</span><span>).</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Active contribution to open-source AI projects, research publications, and industry events/websites.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with AI security, privacy, and compliance standards (e.g.</span><span><span> </span></span><span>ISO 42001).</span></span><span> </span></p></li></ul></div></div><h1><span class="emphasis-3"><b>Embracing our differences </b> </span></h1><p>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 out 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 believe every candidate deserves a level playing field. <br></p><p>Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. <br></p><p>We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.</p><p></p><p> </p>