Kainos
Data Scientist Manager
Kainos Join Kainos and Shape the Future
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. We believe in a people‑first culture, where ideas are valued, growth is supported, and contributions make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. Main Purpose of the Role & Responsibilities in the Business
As a Data Scientist Manager you’ll be responsible for the successful delivery of advanced AI solutions leveraging state‑of‑the‑art machine learning, generative and agentic AI technologies. You will drive adoption of modern AI development and scalable cloud‑native architectures, provide technical leadership, engage with senior stakeholders to agree on architectural principles, strategic direction and system architecture. As a technical leader you will foster a culture of innovation, continuous learning and engineering excellence. You will manage, coach and develop a team, focusing on development of standards and policies, enduring customer relationships and embedding commercial acumen. You will also provide direction and leadership as you solve challenging problems together. 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 experience in technical leadership for AI delivery including architecture, product design principles and engineering excellence. Deep understanding and development 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 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 ability to lead client projects, manage C‑level stakeholders and establish requirements/architecture concepts. 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) and machine learning libraries (e.g., scikit‑learn, XGBoost). Experience with data storage for AI, vector databases, semantic search and knowledge graphs. Active contribution to open‑source AI projects, research publications and industry events/websites. Familiarity with AI security, privacy and compliance standards such as ISO/IEC 42001. 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. You deserve a level playing field. Our talent acquisition team supports you every step of the way; if you require accommodations or adjustments, please reach out. We tailor our recruitment process to your needs through private conversation. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industries
Information Services
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Kainos Join Kainos and Shape the Future
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. We believe in a people‑first culture, where ideas are valued, growth is supported, and contributions make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. Main Purpose of the Role & Responsibilities in the Business
As a Data Scientist Manager you’ll be responsible for the successful delivery of advanced AI solutions leveraging state‑of‑the‑art machine learning, generative and agentic AI technologies. You will drive adoption of modern AI development and scalable cloud‑native architectures, provide technical leadership, engage with senior stakeholders to agree on architectural principles, strategic direction and system architecture. As a technical leader you will foster a culture of innovation, continuous learning and engineering excellence. You will manage, coach and develop a team, focusing on development of standards and policies, enduring customer relationships and embedding commercial acumen. You will also provide direction and leadership as you solve challenging problems together. 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 experience in technical leadership for AI delivery including architecture, product design principles and engineering excellence. Deep understanding and development 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 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 ability to lead client projects, manage C‑level stakeholders and establish requirements/architecture concepts. 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) and machine learning libraries (e.g., scikit‑learn, XGBoost). Experience with data storage for AI, vector databases, semantic search and knowledge graphs. Active contribution to open‑source AI projects, research publications and industry events/websites. Familiarity with AI security, privacy and compliance standards such as ISO/IEC 42001. 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. You deserve a level playing field. Our talent acquisition team supports you every step of the way; if you require accommodations or adjustments, please reach out. We tailor our recruitment process to your needs through private conversation. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Engineering and Information Technology Industries
Information Services
#J-18808-Ljbffr