Quantum Data Scientist: Time-Series & ML for Sensing

Infleqtion; Kidlington; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Bonus Program

Incentive Stock Option Plan

Generous pension contribution

Unlimited PTO

Private healthcare

Job summary

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.

Qualifications

• Masters degree in STEM or equivalent.
• Strong Python libraries experience for data science.
• Experience with time series modelling and predictive maintenance.
• Experience designing production-grade software.
• Background in mathematics and physics helpful.

Responsibilities

• Design and implement time series models for forecasting and anomaly detection.
• Collaborate with product and engineering teams to deploy models in live quantum sensors.
• Evaluate model performance and build pipelines to refine them.
• Analyse large-scale sensor/telemetry data from quantum sensor systems.
• Manage priorities, deadlines and project objectives.

Skills

Time series modelling

Python programming

Machine learning

Mathematics

Physics fundamentals

Software engineering basics

Team collaboration

Education

Masters degree in STEM or equivalent

Tools

TensorFlow/PyTorch

Git

Kafka/MQTT

Cloud platforms

C++/Rust

Pandas/NumPy

CI/CD pipelines

Job description

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.