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
Apply here: https://forms.gle/2nSfztSxnb9o2exYA
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
* Coding fluency in any language
* Working knowledge of signal processing, statistics, and linear algebra
* Strong oral and written communication skills
* Strong organisational skills
* Experience in user recruitment and data collection
* Python programmingMachine learning
* Ability to design and test novel algorithms
* Fine motor skills for sensor manufacturing and soldering
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