Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist Manager

Kainos
Belfast
22 hours ago
Create job alert
Data Scientist Manager

Kainos Belfast, Northern Ireland, United Kingdom


1 day ago Be among the first 25 applicants


Get AI-powered advice on this job and more exclusive features.


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 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.


Ready to make your mark? Join us and be part of something bigger.


Job Profile Description

Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade‑long track record 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.


Our 150‑strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI 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 cutting edge of AI research, delivery, it is truly an exciting team to join Kainos as we further grow our AI capability.


Main Purpose of the Role & Responsibilities in the Business

As a Data Scientist Manager at Kainos, you’ll be responsible for successful delivery of advanced AI solutions leveraging state‑of‑the‑art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud‑native architectures. Your role will involve technical leadership, engaging with senior stakeholders to agree architectural principles, strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning, and engineering excellence.


You will manage, coach and develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial acumen. You will also provide direction and leadership for your team as you solve challenging problems together.


Minimum (essential) Requirements

  • A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field.
  • Proven experience of leading multi‑disciplinary teams to deliver high quality AI/ML solutions.
  • Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence.
  • Have a deep understanding and developing 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 a 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, manage C‑level stakeholders and establish requirements/architecture concepts.
  • We are passionate about developing people, you will bring experience in managing, coaching and developing junior members of a team and wider community.

Desirable

  • 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.
  • Actively contributes to open‑source AI projects, research publications and industry events/websites.
  • 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, so 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.


Seniority level

Mid‑Senior level


Employment type

Full‑time


Job function

Engineering and Information Technology


Industries

Information Services


Referrals increase your chances of interviewing at Kainos by 2x


Belfast, Northern Ireland, United Kingdom


Get notified about new Data Science Manager jobs in Belfast, Northern Ireland, United Kingdom.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist Manager

Data Scientist Manager

Data Science Manager

Senior Data Scientist -CRM

Senior Data Scientist -CRM

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.