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Data Science Lead (CV + ML)

neko-healthStockholmEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 5+ yrs
Posted
6 Oct 2026
Status
Open · checked 8d ago

About this role

This position suits professionals with a strong background in computer vision and machine learning who want to apply data science to preventative healthcare. Based in Stockholm, the Data Science Lead role at neko-health involves building production-ready algorithms for non-invasive body scanning technology.

Role Overview

Neko-health is hiring a Data Science Lead in Stockholm to turn rich imaging data into validated, production-ready algorithms for clinical impact. The professional in this role will develop prototypes, validate clinical use cases, and deliver machine learning models into clinical products.

Key Responsibilities

Build, test, and deploy computer vision and machine learning algorithms for clinical decision support and new product features.
Manage end-to-end problems from messy real-world data to production models.
Partner with hardware engineers, software engineers, and medical professionals to integrate sensor capture into clinical workflows.
Apply classical, geometric, and learned techniques using semi-, self-, or weakly-supervised methods.
Write production-quality code in backend infrastructure using modern AI tooling.
Mentor colleagues, review designs and code, and support an open team culture.

Requirements

Extensive background in modern computer vision and deep learning applied to real-world camera or sensor data.
Demonstrated history of deploying algorithms that function under messy real-world conditions.
Solid machine learning fundamentals and software engineering proficiency in Python.
Minimum of 5 years of relevant industry experience or 2 years post-PhD work.
Background collaborating in cross-functional research and development teams.
Master of Science or Doctor of Philosophy degree in a related technical discipline.

Nice to Have

Experience with multi-view geometry, tracking, registration, calibration, or SLAM.
Background in 3D vision, reconstruction, sensor fusion, state estimation, or non-RGB imaging.
Familiarity with label-efficient learning and large-scale data pipelines.
Prior involvement in safety-critical or regulated environments.

Skills and Tools

Python
Computer Vision
Deep Learning
Machine Learning
3D Perception
Sensor Fusion

About the Company

Neko-health is focused on preventative care, aiming to make data-driven health insights accessible before symptoms appear through non-invasive visits.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PythonComputer VisionDeep LearningMachine Learning3D Perception

Questions candidates ask

Where is this job located?

This position is located in Stockholm.

What qualifications are required?

An MSc or PhD in Computer Vision, Machine Learning, Computer Science, Physics, Engineering or a related field is required, alongside 5+ years of industry experience or 2+ years post-PhD.

What programming language is used?

Python is required for software engineering tasks and production-level code.

What is the primary focus of the role?

The role focuses on developing computer vision and machine learning algorithms for clinical decision support and preventative healthcare imaging data.

Ready to apply?

The application is on the official neko-health careers page.

Apply on company site