Lead Data Scientist, Health AI & Life Sciences London in England

Lead Data Scientist, Health AI & Life Sciences London in England

England Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead innovative model development in health AI and transform cardiovascular disease care.
  • Company: Pioneering health technology company based in London.
  • Benefits: Competitive salary, health benefits, and the chance to shape a new data science function.
  • Other info: Unique opportunity to build a data science function from the ground up.
  • Why this job: Make a real impact in health AI while working with cutting-edge technology.
  • Qualifications: PhD in relevant fields and experience with deep learning models using Python and TensorFlow.

The predicted salary is between 63000 - 77000 £ per year.

A pioneering health technology company in London is seeking a mid-senior level Lead Data Scientist to innovate and lead model development in health AI.

You will leverage machine learning to transform cardiovascular disease care by integrating multimodal biomedical data.

Ideal candidates hold a Ph D in relevant fields and have experience in developing deep learning models with tools like Python and Tensor Flow.

This is a unique opportunity to build a data science function from the ground up in a significant health-focused environment. #J-18808-Ljbffr

Lead Data Scientist, Health AI & Life Sciences London in England employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

SR2 is an excellent employer, offering a dynamic work culture that values innovation and collaboration in the heart of Edinburgh. With a focus on employee growth, we provide opportunities for professional development and the chance to make a meaningful impact in government digital transformation projects. Our flexible part-time role allows for a balanced work-life integration while contributing to significant public sector initiatives.

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Contact Details:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist, Health AI & Life Sciences London in England

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SR2 | Socially Responsible Recruitment | Certified B Corporation™!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist, Health AI & Life Sciences London at SR2 | Socially Responsible Recruitment | Certified B Corporation™.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SR2 | Socially Responsible Recruitment | Certified B Corporation™.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Scientist, Health AI & Life Sciences London at SR2 | Socially Responsible Recruitment | Certified B Corporation™, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Scientist, Health AI & Life Sciences London in England

Communication Skills
Python
SQL
Problem-Solving Skills
Data Engineering
Attention to Detail
Automation

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at SR2 | Socially Responsible Recruitment | Certified B Corporation™, 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 SR2 | Socially Responsible Recruitment | Certified B Corporation™. 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 SR2 | Socially Responsible Recruitment | Certified B Corporation™

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!

Showcase Your Projects

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 SR2 | Socially Responsible Recruitment | Certified B Corporation™!

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.