Quantum Data Scientist: Predictive Modeling for Hardware

Oxford Quantum Circuits; Reading; On-site; GBP 40,000 - 70,000; Full time

Job summary

Oxford Quantum Circuits is seeking a Data Scientist to accelerate the development of quantum hardware through data-driven insights and modelling. The successful candidate will work at the intersection of science, engineering, and software, transforming complex datasets into actionable intelligence to guide critical hardware decisions.

Key responsibilities include developing predictive models, analysing engineering datasets, and collaborating with multidisciplinary teams. A Bachelor's degree in a relevant field and strong Python proficiency are required.

Qualifications

• Experience applying statistical analysis and predictive modelling techniques.
• Proficient in Python and scientific computing libraries.
• Strong communication skills and ability to work cross-discipline.

Responsibilities

• Develop predictive models for hardware design and decision-making.
• Analyse large datasets to generate actionable insights.
• Collaborate with teams to improve performance and optimise designs.

Skills

Statistical analysis

Predictive modelling

Data analysis

Python programming

Data visualisation

Education

Bachelor's degree in a relevant discipline

Tools

NumPy

SciPy

Pandas

Job description

Oxford Quantum Circuits is seeking a Data Scientist to accelerate the development of quantum hardware through data-driven insights and modelling. The successful candidate will work at the intersection of science, engineering, and software, transforming complex datasets into actionable intelligence to guide critical hardware decisions.

Key responsibilities include developing predictive models, analysing engineering datasets, and collaborating with multidisciplinary teams. A Bachelor's degree in a relevant field and strong Python proficiency are required.