Senior Data Scientist - Healthcare

Kainos
City of London
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Private Equity Consulting

Senior Data Scientist

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 recognized 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, and 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 Senior Data Scientist at Kainos, you will be building 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 delivery, 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.


It is a fast‑paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support 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.
  • Deep understanding and experience developing 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 and teamwork.

Desirable

  • Demonstrable 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 contributions to open‑source AI projects, research publications, and industry events/websites.
  • Familiarity with AI security, privacy, and compliance standards (e.g., ISO 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. 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.


#J-18808-Ljbffr

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.