At a Glance
- Tasks: Lead the design and delivery of advanced AI solutions in healthcare.
- Company: Join Kainos, a forward-thinking tech company focused on innovation and diversity.
- Benefits: Competitive salary, career development, and a culture of continuous learning.
- Other info: Dynamic team environment with opportunities for mentorship and growth.
- Why this job: Make a real impact in healthcare with cutting-edge AI technologies.
- Qualifications: 2.1 degree in a relevant field and strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
Main Purpose of the Role & Responsibilities in the Business
As a Lead Data Scientist at Kainos, you will architect, design, and deliver 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 leadership, 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 manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. 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.
- 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 and establish requirements in non‑technical language.
- 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.
- Contributions to open‑source AI projects or research publications.
- 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.
Lead Data Scientist - Healthcare in Birmingham employer: Jentic Technology Limited
Kainos is an exceptional employer that fosters a culture of innovation and continuous learning, making it an ideal place for a Lead Data Scientist in the healthcare sector. With a commitment to diversity, equity, and inclusion, Kainos provides employees with opportunities for professional growth and development while working alongside talented colleagues in a fast-paced environment. The company prioritises responsible AI practices and offers a supportive atmosphere where your contributions are valued, ensuring you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Healthcare in Birmingham
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We think you need these skills to ace Lead Data Scientist - Healthcare in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Jentic Technology Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jentic Technology Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jentic Technology Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jentic Technology Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
