Data Science Pod Lead

Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk.

Our mission: make data-driven, preventative care accessible to more people, before symptoms appear.

In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised,

actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is

the norm, and where your work genuinely helps people live longer, healthier lives.

We are looking for a Data Science Pod Lead to join our Data Science team - a senior technical leader who combines deep hands-on

expertise with a passion for growing people and teams. This is a dual-track role: approximately 75% of your time will be spent as

an individual contributor, developing and delivering production-ready algorithms and ML models from novel sensor data, while

approximately 25% will be dedicated to people leadership, serving as the direct line manager and mentor for a pod of data

scientists.

You will work across projects such as ECG, Skin imaging, Thermal Imaging, Cardiovascular Algorithms, and Tissue Imaging - turning

complex health data into validated, clinically impactful decision support. You will also shape the technical direction and quality

standards of your pod, contribute to the broader Data Science leadership team, and collaborate closely with engineers, clinicians,

and researchers to bring algorithms and models from prototype to production.

If you are motivated by the intersection of cutting-edge machine learning and preventative healthcare, and you want to lead a team

while staying close to the technical work, this role is for you.

• Develop, verify, validate, and deploy machine learning models and algorithms for clinical decision support, contributing to new

product features or research breakthroughs that improve member outcomes (Member-first, always).

• Build and lead a high-performing pod of data scientists — providing line management, mentorship, regular feedback, and career

development support to help each team member thrive (Tech-enabled, human-centred).

• Set and uphold technical standards, code quality, and best practices within the pod, and deliver production-quality code

integrated into Neko’s backend infrastructure, raising the bar for technical excellence across the Data Science team (Chase

10X, not 10%).

• Collaborate cross-functionally with hardware engineers, firmware engineers, software engineers, medical doctors, and clinical

researchers to develop and validate clinical use-cases, and support the regulatory readiness of algorithms and models

(Optimistic truth seeking)

• Contribute to the Data Science leadership team — shaping area-wide strategy, best practices, common tooling, and ways of

working alongside other Pod Leads and the Area Lead.

• 5+ years of relevant industry experience in a Data Scientist, ML Engineer, or Applied Scientist role, or 2+ years post-PhD in a

comparable position.

• Deep expertise in machine learning, signal processing, or computer vision, with hands-on experience across the full ML

lifecycle.

• People leadership experience (e.g. line management, team lead, or equivalent), with the ability to inspire and develop a

technical team.

• Strong communication and collaboration skills, with comfort operating under uncertainty, making pragmatic trade-offs, and

driving clarity in ambiguous situations.

• Experience working in a regulated environment (e.g. medical devices, IVD, or equivalent) and familiarity with regulatory

requirements for medical algorithms.