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- Tasks: Support data collection and analysis for innovative wristband technology.
- Company: Exciting startup in London redefining human-computer interaction.
- Benefits: Competitive salary and hands-on experience in a dynamic environment.
- Why this job: Join a team at the forefront of tech innovation and make a real impact.
- Qualifications: Strong skills in data handling, communication, and Python programming.
- Other info: On-site role with opportunities for personal and professional growth.
The predicted salary is between 20000 - 30000 £ per year.
An innovative startup in London is seeking a Data Scientist Intern to support data collection and analysis for its cutting-edge wristband technology. The role involves recruiting users, cleaning and analyzing data, and may include contributing to hardware tasks.
Ideal candidates should have strong skills in data handling, communication, and programming in Python. This is an on-site role with a competitive salary. Join a team focused on redefining human-computer interaction.
Data Scientist Intern: Hands-On Data & Analysis (London) employer: Fether Labs
Contact Detail:
Fether Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Intern: Hands-On Data & Analysis (London)
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the startup on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or analysis using Python that showcases your data handling abilities. Bring it along to interviews to demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and coding challenges. We can even set up mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist Intern: Hands-On Data & Analysis (London)
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data handling and analysis in your application. We want to see how you've tackled data challenges before, so share specific examples that showcase your skills!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and why you’re excited about this role.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our job description. Mention your programming skills in Python and any relevant projects that align with our innovative work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Fether Labs
✨Know Your Data
Make sure you brush up on your data handling skills before the interview. Be prepared to discuss your experience with data collection and analysis, especially in Python. Having specific examples ready will show that you can hit the ground running.
✨Show Your Communication Skills
Since this role involves recruiting users and working in a team, practice articulating your thoughts clearly. Think of scenarios where you've successfully communicated complex data insights to non-technical audiences. This will demonstrate your ability to bridge the gap between data and people.
✨Get Hands-On with Hardware
If you have any experience with hardware tasks, be sure to highlight it. Even if it's minimal, showing enthusiasm for learning about the wristband technology can set you apart. Research the company’s products and think about how you could contribute to their development.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to data analysis and user recruitment. This shows your genuine interest in the role and helps you understand how you can fit into their innovative team. Plus, it gives you a chance to assess if the company aligns with your career goals.