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Infleqtion is seeking a data scientist to develop time series models and predictive analytics for quantum sensor systems. You will work across data science, physics, and engineering to design algorithms that operate in real-time within complex sensor environments.
The role focuses on forecasting, anomaly detection, and model integration with live instruments, requiring strong Python skills and experience with ML libraries. Hybrid work, with travel to UK sites as needed.
Job Type Permanent
Work Location Hybrid
Posted 21 Aug 2026 (2 days ago)
Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications.
Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position split between our Kidlington, Oxford office and the National Quantum Computing Centre, Harwell. Work from home permitted up to 2 days per week based on business needs and manager approval. Candidate will need to be able to travel independently to these locations, as required.
Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time systems involving quantum sensors. This is a high-impact role bridging data science, physics and engineering disciplines.
The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties.