Job Overview Data Scientist Manager at Kainos – leading advanced AI solutions for clients across government, healthcare, defence, and commercial sectors. Responsibilities

Drive adoption of modern AI development and scalable cloud‑native architectures. Provide technical leadership, engaging with senior stakeholders to agree architectural principles and strategic direction. Foster a culture of innovation, continuous learning, and engineering excellence. Manage, coach and develop a multidisciplinary team, focusing on standards, policies, commercial acumen, and customer relationships.

Minimum (essential) Requirements

A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field. Proven experience leading multi‑disciplinary teams to deliver high‑quality AI/ML solutions. Demonstrable technical leadership for AI delivery including architecture, product design principles and engineering excellence. Deep understanding of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval‑augmented generation (RAG) and agentic AI. Strong Python skills with software engineering best practices (CI/CD, testing, code reviews). 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, managing client projects, C‑level stakeholders, and establishing requirements/architecture concepts. Experience in managing, coaching and developing junior members of a team and community.

Desirable

Experience with modern deep learning frameworks (PyTorch, TensorFlow), fine‑tuning or distillation of LLMs. Experience with vector databases, semantic search and knowledge graphs. Active contribution to open‑source AI projects, research publications and industry events. Familiarity with AI security, privacy, and compliance standards (e.g. ISO 42001).

Embracing our differences Kainos is committed to diversity, equity and inclusion. We value talent from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability or any other characteristic. Accommodations and adjustments are encouraged to ensure a fair recruitment process. #J-18808-Ljbffr