Data Scientist (London)

Role: Data Scientist

Location: London, UK

Job ads are usually novels—we prefer conversations. But LinkedIn insists on words, so here’s the quick scoop on the role. If it sparks a grin, let’s chat over coffee (or google meets, pets welcome).

About upLYFT:

upLYFT is a VC-backed start-up redefining MSK care through clothing based wearables that augment human function. You will join the team to help deliver our first product MotionTrak, which combines sensors and textiles to monitor movement, gait and biomechanics- delivering insights for clinicals, athletes and the ageing. We move quickly and prototype obsessively!

Overview:

We are looking for a Data Scientist who will take end-to-end ownership of MotionTrak’s analytics layer—from raw sensor streams to production-ready algorithms. You will design signal-processing pipelines, build and validate machine-learning models, and work cross-functionally to embed your work in firmware, cloud and mobile applications.

Responsibilities

• Own the signal pipeline – design, build, and maintain robust filtering, synchronization, and feature-extraction modules for multi-IMU data streams.
• Develop movement analytics – develop algorithms that extract gait features, then turn these into actionable metrics.
• End-to-End ML ownership – select and tune models for cloud analysis and longitudinal prediction.
• Validate in real life – define study protocols, run data-collection campaigns, and perform statistical analyses to prove accuracy across diverse user populations.
• Ship to production – collaborate with firmware, mobile, and cloud engineers to embed algorithms on cloud and integrate them into the full data stack.

Qualifications

• Masters or PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Biomechanics, Data Science or a closely related discipline.
• Deep understanding of digital signal processing, statistical modelling and machine-learning techniques, evidenced by publications, patents or shipped products.
• Minimum 1–2 years applying quantitative analytics or data-modelling in a commercial or research environment.
• Proficient in PythonorMATLAB for building well-structured, version-controlled code bases.
• Practical experience with IMU data, including orientation estimation, drift correction and sensor calibration.

Why upLYFT (a.k.a the fun bits)

• Competitive salary plus meaningful equity in a rapidly scaling health-tech startup.
• 25 days paid holiday + bank holidays.
• Real impact, fast – ownership and autonomy where code lands in the hands of users within months, not in a dusty backlog.
• Lab playground – London office loaded with sensors, 3-D printers, and all the prototyping tech you'd ever need.
• Passport stamps – Collaborate with partners in Japan and Hong Kong; optional travel if you fancy sushi + dim sum.
• Backed to win – Supported by top UK & HK VCs who love big, audacious health-tech bets.

How to apply

Applythrough LinkedIn or email with the subject line“Data Scientist”.Please include a CV and any relevant publications, GitHub links, or project portfolios. Although a cover letter isn't essential, adding will allow you to convey why you are best suited for this role.