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Data Scientist
InfleqtionData Scientist developing predictive time-series and control models for Infleqtion’s quantum sensors. Integrating machine-learning systems with product and engineering teams.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing time series models for forecasting and anomaly detection, with strong programming skills in Python and a solid foundation in applied mathematics and physics. Proficient in software engineering best practices and capable of managing technical priorities effectively.
Highest-signal resume keywords
Python ProgrammingMachine Learning Model DevelopmentStatistical ModellingSoftware Engineering Best PracticesData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Time Series ModellingAnomaly DetectionPredictive MaintenanceStatistical ModellingSystems DynamicsDifferential EquationsPython Libraries DevelopmentMachine LearningData AnalysisClean Code Practices
Soft Skills
Technical PrioritizationDeadline ManagementCollaboration
Tools & Technologies
NumPyPandasScikit-learnTensorFlowPyTorchGitCI/CD Pipelines
Certifications & Qualifications
Masters Degree in STEM Field
Industry Keywords
Quantum SensorsTelemetry DataPredictive ModelsProduction Environments
Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance
- Collaborate with product and engineering teams to integrate predictive models into live quantum sensors
- Evaluate performance of deployed models and develop tools/pipelines to continuously refine them
- Analyse large-scale sensor and telemetry data from quantum sensor systems
- Effectively manage technical priorities, meet deadlines, and deliver on project objectives
Requirements
What you’ll need- Masters degree in a STEM field (maths, science, engineering etc.) or equivalent
- Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch)
- Demonstrable experience in creating and developing Python libraries
- Demonstrable experience designing, implementing and training machine learning models from scratch
- Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations
- Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines
- Experience writing clean, efficient, and modular code suitable for production environments
- Ability to travel independently to the Kidlington, Oxford office and the National Quantum Computing Centre, Harwell, as required
- Up to 10% travel, including international travel, may be required
Benefits
Comp & perks- Competitive salary
- Bonus Program
- Incentive Stock Option Plan
- Unlimited PTO subject to fair usage
- Generous company 10% pension contribution regardless of employee contribution
- Cycle to work scheme
- Tax efficient technology schemes
- BUPA Private Healthcare Insurance once probationary period is successfully completed
- Life assurance (4 x salary)