Data Scientist - full-time

Data Scientist
Employment Type: Full-Time in a fast-growing startup
SBQuantum is a seed-stage startup at the forefront of magnetic sensing innovation. Our vision is to unlock the full potential of magnetic intelligence through our proprietary quantum diamond technology and curated algorithms.

By combining diamond-based quantum sensors with advanced AI-driven software, we transform complex magnetic field data into actionable, high-value insights. Our solutions enable accurate magnetic mapping, navigation and object detection in environments where traditional sensing technologies—like GPS, radar, imagery, or sonar—cannot perform.

From public safety and defence to space exploration, our multidisciplinary team of engineers, physicists, and data scientists is redefining how the world perceives magnetic signals—turning invisible complexity into clear, useful intelligence.

We’re a fast-growing deeptech startup building multiple bricks for the future of magnetic navigation. Deploy and test your solution on different platforms
We’re looking for a proactive and hands-on person who thrives in building structure from the ground up and autonomous in making stuff happen. You’re highly collaborative, able to work seamlessly across technical and non-technical teams and motivated by delivering meaningful impact through strong execution.

including Tolles-Lawson and extended models to characterise and remove platform-induced magnetic interference across all three field components. Adopt a rigorous testing against ground truth and in-flight datasets, and an awareness of how compensation quality directly impacts end-user navigation performance.
Pattern recognition & signal analysis - Interrogate large, multi-channel magnetic and inertial datasets to identify systematic patterns, interference signatures, and anomalous behaviour; applying statistical analysis, spectral methods, and machine learning techniques to extract actionable insight from complex, noisy signals in operational navigation contexts.
Algorithm testing, benchmarking & iteration Build and maintain structured test frameworks to benchmark compensation performance across platforms, flight regimes, and environmental conditions; Data pipeline development & management - Develop robust, well-documented Python pipelines for ingesting, synchronising, and pre-processing multi-sensor data streams — ensuring consistent data formats, calibration traceability, and version control across field campaigns and laboratory experiments, with outputs structured to meet the ingestion requirements of downstream navigation systems.
engaging directly with end users in the navigation space to understand operational constraints, gather feedback on delivered data products, and ensure algorithm development remains grounded in real-world mission needs.
Insight communication & technical reporting - Communicate findings clearly to both technical and non-technical stakeholders; Produce well-structured reports, visualisations, and presentations that distill complex compensation performance results into clear conclusions informing system design decisions, procurement discussions, and operational planning.

Background in magnetic compensation algorithms, ML processing pipelines and data science

• Experience in autonomous platforms deployment
• Experience with custom Python code

Flexible hybrid work environment
Equity