Data Scientist

About the Company

Position Summary

Location and Working Arrangement

• This is a full-time position based at Infleqtion’s Kidlington, Oxford office.
• Working from home is permitted up to 2 days per week based on business needs and manager approval.
• Work is normally performed in an office and laboratory environment.

Responsibilities

• Design and implement time series models for forecasting, anomaly detection, and predictive maintenance.
• Integrate predictive models into live quantum sensors with product and engineering teams.
• Evaluate deployed models and develop tools and pipelines for continuous refinement.
• Analyze large-scale sensor and telemetry data from quantum sensor systems.
• Manage technical priorities, meet deadlines, and deliver project objectives.

Required Qualifications

• Master’s degree in a STEM field such as mathematics, science, or engineering, or equivalent experience.
• Strong Python programming skills, including NumPy, Pandas, and scikit-learn.
• Experience creating and developing Python libraries.
• Experience designing, implementing, and training machine learning models from scratch.
• Strong applied mathematics and physics foundations, including statistical modeling, systems dynamics, and differential equations.
• Familiarity with Git, code review, unit testing, and CI/CD practices.
• Experience writing clean, efficient, modular production code.

Desirable Skills and Knowledge

• Familiarity with AMO physics or quantum machine learning.
• Experience with MLOps practices.
• Knowledge of Apache Kafka, MQTT, or real-time data pipelines.
• Experience with AWS, Azure, or GCP.
• Expertise in ARIMA, VAR, Prophet, LSTM, or other time series techniques.
• Knowledge of PID controllers, Kalman filters, model predictive control, or reinforcement learning.
• Familiarity with lower-level data pipeline development in C++ or Rust.

Travel and Physical Requirements

• Up to 10% travel, including international travel, may be required.
• The role involves sitting, standing, walking, and lifting or carrying up to 10 kilograms.

Benefits

• Benefits include competitive salary, bonus and stock option programs, unlimited PTO subject to fair usage, a 10% pension contribution, cycle-to-work and technology schemes, private healthcare after probation, and life assurance.