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Senior Data Scientist - Public Sector

May 26, 2026

<h1>Join Kainos and Shape the Future </h1>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.<div><div>JOB PROFILE DESCRIPTION </div><div> </div><div>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. </div><div> </div><div>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. </div><div> </div><div>MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: </div><div> </div><div>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. </div><div> </div><div>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. </div><div> </div><div>MINIMUM (ESSENTIAL) REQUIREMENTS: </div><div> </div><div><ul><li>A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. </li></ul></div><div><ul><li>Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. </li></ul></div></div><div><div><ul><li>Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI. </li></ul></div><div><ul><li>Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). </li></ul></div><div><ul><li>Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. </li></ul></div><div><ul><li>Understanding of responsible AI principles, model interpretability, and ethical considerations. </li></ul></div><div><ul><li>Strong interpersonal skills and team working. </li></ul></div><div> </div><div> </div><div>DESIRABLE: </div><div> </div><div><ul><li>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). </li></ul></div><div><ul><li>Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. </li></ul></div><div><ul><li>Actively contributes to open-source AI projects, research publications, and industry events/websites. </li></ul></div><div><ul><li>Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. </li></ul></div></div><h1>Embracing our differences   </h1>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.

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DISCLAIMER

Get Hired Faster With COMPANY_NAME!

1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process

2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!

3: The Type of Resume You Need to Get Priority Placement

4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME

5: COMPANY_NAME Helps You Grow Your Career

6: The Easiest Way To Find A Job

7: Find Roles That Offer Growth, Culture & Benefits

8: Get Support With Resume, Interviews & Career Planning

9: Your Future Starts Today

10: Get Hired Within 15 to 30 Days With COMPANY_NAME

Senior Data Scientist - Public Sector

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

5. HOW DO YOU PROCESS INFORMATION?

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

8. HOW TO PRIORITIZE WORK?

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

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