Join Kainos and shape the future. 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. Responsibilities

Architect, design, and deliver advanced AI solutions. Drive adoption of modern AI frameworks, AIOps best practices, and scalable cloud‑native architectures. Collaborate with customers to translate business challenges into trustworthy AI solutions. Provide technical leadership and mentorship to a small team. Manage, coach, and develop junior members; focus on employee performance and career development.

Minimum (Essential) Requirements

A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field. Deep understanding and development experience of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with latest AI engineering approaches such as prompt engineering, retrieval‑augmented generation (RAG), and agentic AI. Strong Python skills with grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large‑scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills with the ability to lead client projects and establish requirements in non‑technical language. Experience managing, coaching, and developing junior members of a team and wider community.

Desirable

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. Contributions to open‑source AI projects or research publications. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.

Embracing Our Differences 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. Our friendly talent acquisition team is here to support you every step of the way, and if you require any accommodations or adjustments, we encourage you to reach out. 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. #J-18808-Ljbffr