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- Tasks: Lead the development of data science pipelines and platforms in a dynamic start-up environment.
- Company: Exciting life science stealth start-up in Cambridge with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team and make a real impact in the life sciences sector.
- Why this job: Shape the future of biotech by turning scientific data into actionable insights.
- Qualifications: Master’s or PhD in a relevant field, with strong data analysis and Python skills.
The predicted salary is between 50000 - 60000 £ per year.
Take a lead role in shaping data science pipelines, platforms and methodologies.
This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques.
Requirements:
- Master’s or ideally PhD in mathematics, science or similar.
- Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences).
- Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning.
- Ability to make sense of data within project context and company goals, so that insight can aid further research and projects.
- Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests.
- Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders.
- Any exposure to training ML models (neural networks) would be desirable.
This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions.
Data Scientist (Platform Development) in Cambridge employer: ECM Selection (Holdings) Limited
Contact Detail:
ECM Selection (Holdings) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Platform Development) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in life sciences or data science. Attend meetups, webinars, or even local events in Cambridge to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex data concepts to non-technical stakeholders, so practice breaking down your work into simple terms that anyone can understand.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of great opportunities, and applying directly can sometimes give you an edge. Plus, we’re here to help you every step of the way!
We think you need these skills to ace Data Scientist (Platform Development) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience in data analysis, especially in a scientific context, and don’t forget to showcase your Python skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your skills can contribute to our start-up. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's algorithm development or maintaining data pipelines, we want to see what you've done. Include links to your work if possible – we love seeing practical examples!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised – win-win!
How to prepare for a job interview at ECM Selection (Holdings) Limited
✨Know Your Data Science Stuff
Make sure you brush up on your data science methodologies, especially in areas like signal processing and machine learning. Be ready to discuss specific algorithms you've worked with and how they relate to the projects mentioned in the job description.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. Bring examples of maintainable code you've written, and be ready to talk about the libraries and tools you’ve used in your previous projects.
✨Communicate Like a Pro
You’ll need to explain complex data concepts to non-technical stakeholders, so practice simplifying your explanations. Think of ways to convey your insights clearly and concisely, as this will show your ability to bridge the gap between data science and business needs.
✨Be Ready for Flexibility
Start-ups often require adaptability, so be prepared to discuss how you've handled changing project scopes or roles in the past. Highlight your experience in dynamic environments and your willingness to take on various tasks to support the team.