Employment Information
Are you able to extract insight from scientific measurements producing large amounts of data? Are you looking for a position in which you can create innovative solutions to real-world problems, combining machine learning with fundamental research? Do you want to do this in an ambitious, fast-growing, international company with a friendly and inclusive culture? Then this might be your chance to become a part of our data science team!
In this role you will generate and explore ideas and solutions to advance the quality and quantity of insight that can be delivered by scientific instruments, with a particular focus on the use of machine learning methods. This role is at the interface of natural/physical sciences, data science and computing. It will contribute to significant enhancements in the capabilities of the technologies used by scientists and analysts worldwide.
What are your responsibilities?
- You will apply your knowledge of science, machine learning, cloud computing and numerical modelling to solve problems related to the development of analytical instruments.
- You will explore approaches to gaining greater insight and performance from scientific measurements with a focus on machine learning and numerical modelling.
- You will create new ideas to deliver insight from data from scientific instruments, and to aid in the design of next-generation instruments.
- You will work with data from many sources, including its processing, cleansing, and verifying.
- You will present and share progress with different audiences.
- You will share your expertise with other team members in the business.
- You will prepare material to explain new products you develop in varied forms, including peer-reviewed publication, software, webinars and more.
What do you need to be successful in this role?
- You will be a creative problem solver, keen to understand how things work and build innovative solutions across scientific disciplines.
- You will have a degree or equivalent in any natural or physical science, mathematics, computer science or any other numerate discipline.
- You will have very good general knowledge of scientific measurement and computing. You will have used common data science and scientific computing toolkits, such as NumPy, Pytorch, scikit-learn, and have strong numerical modelling skills.
- You will have strong general knowledge of mathematics, statistics, machine learning methods and data exploration.
Great to have?
- Exposure to cloud or high-performance computing
- Laboratory experience
When you join?
- Your career will take off with a comprehensive induction programme. We then continue to support and develop our employees by improving their skills, knowledge and performance by in-house, on-the-job training, and external training.
- We value entrepreneurship and commitment by offering real career possibilities.
- You become part of a growing company where you can shape the future of our work processes.
- Flexi-time (core hours 10.00am - 12.00pm and 2.00pm - 3.00pm) to help you to achieve a good work-life balance.
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