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For Companies At a Glance
- Tasks: Collect, clean, and analyse data while supporting innovative wristband construction.
- Company: Fether Labs, a cutting-edge startup redefining human-computer interaction.
- Benefits: Competitive salary, hands-on experience, and the chance to work on groundbreaking technology.
- Why this job: Join a dynamic team and make a real impact in an exciting tech environment.
- Qualifications: Fluency in coding, knowledge of statistics, and strong communication skills.
- Other info: Fast-paced startup culture with opportunities for diverse tasks and career growth.
The predicted salary is between 25000 - 30000 £ per year.
Location: Hammersmith, London, UK (on-site)
Salary: £25,000 to £30,000 per year (pro rata)
Start date: Immediately, or upon availability
Contract type: 5 months, fixed-term
Deadline: Applications will be reviewed on a rolling basis until the role is filled
About Us
Fether Labs is building wristbands that redefine human–computer interaction. With a flick, a pinch, or a squeeze, any gesture can be programmed into a command. From the mouse, to the touchscreen, to what has always been most natural — our hands — we’re creating the next evolution of control. At the heart of our product are proprietary sensors and algorithms. Our sensors are fundamentally different from EMG electrodes or IMUs, enabling a natural, precise, and expansive range of interactions. Fether Labs spun out of Imperial College London, where the original sensor technology was developed.
The Role
We are looking for a hands‑on, hardworking Data Scientist Intern who thrives in fast‑paced, high‑impact environments. Your primary responsibility will be data collection and preparation. You will recruit a large, diverse cohort of users, then clean, label, and analyse the resulting datasets. Your secondary responsibility will be supporting wristband construction. Depending on your skills, this may include sensor manufacturing, soldering and testing analogue circuits, and/or manufacturing research. As an early‑stage startup, you will also be called upon to contribute to a broad range of tasks across the business.
Primary Responsibilities
- Recruiting users and testers for our wristband
- Collecting data from users and testers
- Cleaning and labelling data
- Analysing data, including statistical analysis and performance measurement
Secondary Responsibilities
- Supporting the hardware team, which may include sensor manufacturing, soldering and testing of analogue circuits, and manufacturing research
- Supporting other aspects of the business as needed
Essential Skills
- Coding fluency in any language
- Working knowledge of signal processing, statistics, and linear algebra
- Strong oral and written communication skills
- Strong organisational skills
Desirable Skills
- Experience in user recruitment and data collection
- Python programming
- Machine learning
- Ability to design and test novel algorithms
- Fine motor skills for sensor manufacturing and soldering
Data Scientist Intern employer: Fether Labs
Contact Detail:
Fether Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Intern
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data science questions and showcasing your projects. We recommend having a portfolio ready that highlights your coding skills and any relevant experience, especially in data collection and analysis.
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a friendly email expressing your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Be adaptable! As a startup, we value versatility. Be ready to discuss how your skills can contribute to various tasks beyond data science, like supporting hardware teams or user recruitment. Show us you’re a team player!
We think you need these skills to ace Data Scientist Intern
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and technology shine through. We want to see that you’re genuinely excited about the role and our mission at Fether Labs!
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the job description. We love seeing how your background aligns with what we’re looking for, so don’t hold back on showcasing your coding fluency and any data-related projects.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this internship. Be specific about your experiences with data collection and analysis, and how they relate to the responsibilities of the role. Keep it engaging and personal!
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered as we review applications on a rolling basis. We can’t wait to hear from you!
How to prepare for a job interview at Fether Labs
✨Know Your Data
Make sure you brush up on your data collection and analysis skills. Familiarise yourself with statistical methods and signal processing concepts, as these will likely come up in the interview. Be ready to discuss any relevant projects or experiences where you've applied these skills.
✨Show Off Your Coding Skills
Since coding fluency is essential for this role, be prepared to demonstrate your programming abilities. Bring examples of your work, whether it's a GitHub repository or a project you've completed. If you have experience with Python, make sure to highlight that!
✨Communicate Clearly
Strong communication skills are key, especially when discussing complex data findings. Practice explaining your past projects in simple terms, focusing on your thought process and the impact of your work. This will show that you can convey technical information effectively.
✨Be Ready for Hands-On Tasks
As this role involves supporting hardware tasks, be prepared for practical questions or even a mini task related to sensor manufacturing or soldering. If you have any experience in these areas, share it! Showing your willingness to get hands-on will impress the interviewers.