Data Scientist

Enthusiasm about using machine learning, especially deep-learning and/or probabilistic methods, for science and engineering
Ability to scope and effectively deliver projects
Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
Excellent collaboration and communication skills – with teams and customers alike
Degree in computer science, machine learning, applied statistics, mathematics, physics, engineering or a related field
Helped build machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow), especially including deep-learning applications
Software engineering concepts and best practices for collaborative programming (e.g., versioning, testing, deployment)
Working in a cloud environment with one of the major cloud providers

Work closely with our simulation engineers, machine learning engineers and customers to develop an understanding of the physics and engineering challenges we are solving
Build innovative models to predict the behaviour of physical systems leveraging state-of-the-art machine learning and deep learning techniques
Own the delivery of data science workstreams
Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable
Discuss the results and implications of your work with your colleagues and our customers
Contribute to our internal R&D and product work