JOBP****ROFILE DESCRIPTION MAIN PURPOSE OF THE ROLE&RESPONSIBILITIES IN THE BUSINESS: As a Lead Data Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence.**MINIMUM(ESSENTIAL)**REQUIREMENTS: Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI.Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language.We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community.Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost).Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people’s lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That’s why we’ve been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see .
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