At a Glance
- Tasks: Develop predictive algorithms for real-time quantum sensor applications and build robust data pipelines.
- Company: Join Infleqtion UK, a leader in quantum technology and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for travel.
- Other info: Collaborative environment with exciting projects and career growth potential.
- Why this job: Combine data science with cutting-edge quantum technology to make a real-world impact.
- Qualifications: Experience in data science, time series modelling, and a passion for physics and engineering.
The predicted salary is between 60750 - 74250 £ per year.
Infleqtion UK is seeking a Data Scientist to focus on time series modelling and control systems for real‑time quantum sensor applications.
You will bridge data science, physics and engineering to develop predictive algorithms and deploy them in production environments.
The role involves collaborating with product and engineering teams, evaluating model performance, and building robust data pipelines for live quantum sensor systems.
Travel may be required up to 10%.
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Quantum Data Scientist: Time-Series for Real-Time Sensor ML in Harwell employer: Infleqtion UK
Infleqtion UK is an exceptional employer, offering a dynamic work environment in the heart of Kidlington, Oxford, where innovation thrives. With a strong focus on employee growth, you will have access to cutting-edge research opportunities and collaborative projects that foster professional development. The hybrid work model promotes a healthy work-life balance, making it an ideal place for those seeking meaningful contributions in the field of quantum optics and inertial sensing.
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We think this is how you could land Quantum Data Scientist: Time-Series for Real-Time Sensor ML in Harwell
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Quantum Data Scientist: Time-Series for Real-Time Sensor ML in Harwell
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Infleqtion UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Infleqtion UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Infleqtion UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
