Senior Data Science Pod Lead - Production ML for Prevention

Senior Data Science Pod Lead - Production ML for Prevention

Full-Time 59400 - 72600 £ / year (est.) No working from home possible
Neko Health

At a Glance

  • Tasks: Lead a team of data scientists and contribute to innovative production ML projects.
  • Company: Neko Health, a pioneer in preventative healthcare technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on cutting-edge technology and preventative care.
  • Why this job: Make a real difference in healthcare by translating research into impactful solutions.
  • Qualifications: Experience in data science, leadership skills, and a passion for healthcare innovation.

The predicted salary is between 59400 - 72600 £ per year.

Neko Health is seeking a Data Science Pod Lead to guide a team of data scientists while contributing hands-on to production ML from novel sensor data. The role blends technical leadership with people management across projects such as Laser Speckle Imaging, contactless ECG, and skin imaging.

You’ll shape technical standards, collaborate with engineers, clinicians, and researchers, and help translate research into validated decision support that improves preventative care.

#J-18808-Ljbffr

Senior Data Science Pod Lead - Production ML for Prevention employer: Neko Health

Neko Health is an exceptional employer that prioritises community engagement and employee development, making it a rewarding place to work in London. With a vibrant work culture that fosters collaboration and innovation, employees are encouraged to grow their skills while contributing to meaningful healthcare initiatives. Join us to be part of a team that values your input and offers unique opportunities to make a real impact in the community.

Neko Health

Contact Details:

Neko Health Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Science Pod Lead - Production ML for Prevention

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 Neko Health!

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 Senior Data Science Pod Lead - Production ML for Prevention at Neko Health.

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 Neko Health.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Science Pod Lead - Production ML for Prevention at Neko Health, 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 Senior Data Science Pod Lead - Production ML for Prevention

Technical Leadership
People Management
Production Machine Learning
Sensor Data Analysis
Collaboration with Engineers
Collaboration with Clinicians
Collaboration with Researchers

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 Neko Health, 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 Neko Health. 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 Neko Health

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 Neko Health!

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.