Senior Data Scientist - Healthcare

Kainos; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading AI and data solutions provider in Greater London seeks a Senior Data Scientist to build advanced AI solutions using cutting-edge technologies. The ideal candidate will have a 2.1 degree in a quantitative field, strong Python skills, and experience in AI/ML model development. Responsibilities include driving adoption of AI frameworks and collaborating with clients. A commitment to responsible AI practices is essential, and the role offers the opportunity to join a diverse, innovative team.

Qualifications

• Deep understanding of AI/ML models, including time series, supervised/unsupervised learning.
• Experience with modern AI engineering approaches such as prompt engineering.
• Expertise in handling large-scale, unstructured, and multimodal data.

Responsibilities

• Build advanced AI solutions leveraging state-of-the-art ML technologies.
• Drive adoption of modern AI frameworks and AI Ops best practices.
• Collaborate with customers to translate business challenges into AI solutions.

Skills

AI/ML model development

Python programming

Interpersonal skills

Team collaboration

Data engineering for AI

Responsible AI principles

Education

2.1 degree in Computer Science, AI, Data Science, Statistics

Tools

PyTorch

TensorFlow

scikit-learn

XGBoost

Job description

JOB PROFILE DESCRIPTION

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.

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 and delivery – an exciting team to join 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, AI Ops 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 and 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.
• Have a deep understanding of 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 team‑working.

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.
• 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 you can ensure that our recruitment process is tailored to your needs.