You understand how algorithms are designed, optimised and applied at scale. You can select and use appropriate statistical methods for sampling, distribution assessment, bias and error. You understand problem-structuring methods and can evaluate when each method is appropriate. You know how to apply scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions.
You understand the theoretical basis for applied practices and are beginning to apply theory to practical examples. (Relevant skill level: awareness)
You know how and when to apply existing best practice solutions. (Relevant skill level: working)
You understand and can help teams apply a range of practices. You know how to develop deeper expertise on a narrower range of specialisms. You can start to apply emerging theory to practical situations. (Relevant skill level: practitioner)
You understand, teach and supervise a wide range of practices, or you might have deep expertise on a narrower range of specialisms. You can apply emerging theory to practical situations. (Relevant skill level: expert)