Data Science Pod

Mission

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.

Role Purpose

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.

What You’ll Deliver in the First 6–12 Months

• 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