Retina Imaging Data Scientist – ML & CV Innovator in Dunfermline

Retina Imaging Data Scientist – ML & CV Innovator in Dunfermline

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

  • Tasks: Develop and optimise machine learning models for retinal imaging.
  • Company: Join Optos PLC, a leader in innovative retinal imaging technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative R&D environment with a focus on continuous improvement.
  • Why this job: Make a real impact in healthcare with cutting-edge technology.
  • Qualifications: PhD or equivalent experience, strong Python skills, and ML framework knowledge.

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

Optos PLC, a leader in retinal imaging, is seeking a Data Scientist to join our R&D team in Dunfermline.

You will develop, optimise and evaluate machine learning models and computer vision algorithms for retinal imaging, ensuring integration into our products.

You will collaborate with cross-functional teams to drive continuous improvements in product quality, accuracy and user value.

The role requires Ph D or equivalent experience, strong Python skills, and experience with ML frameworks like

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Retina Imaging Data Scientist – ML & CV Innovator in Dunfermline employer: Optos PLC

Optos PLC is an exceptional employer, offering a dynamic work environment in Dunfermline where innovation thrives. Our collaborative culture fosters continuous learning and professional growth, empowering you to make a meaningful impact in the field of retinal imaging. With access to cutting-edge technology and a commitment to employee development, we provide a unique opportunity for those passionate about machine learning and computer vision to excel in their careers.

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Contact Details:

Optos PLC Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Retina Imaging Data Scientist – ML & CV Innovator in Dunfermline

✨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 Optos PLC!

✨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 Retina Imaging Data Scientist – ML & CV Innovator at Optos PLC.

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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 Optos PLC.

✨Apply Directly through Our Website

When you find a suitable opening like Retina Imaging Data Scientist – ML & CV Innovator at Optos PLC, 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 Retina Imaging Data Scientist – ML & CV Innovator in Dunfermline

Machine Learning
Computer Vision
Python
ML Frameworks
Data Analysis
Cross-Functional Collaboration
Product Quality Improvement

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 Optos PLC, 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 Optos PLC. 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 Optos PLC

✨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 Optos PLC!

✨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.